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Upcoming Events

Final Conference in Norrköping's new Visualization Center: October 14, 2010.

Preliminary program:
9.30 Kaffe
10.00 Översikt över MOVIII centret - Lennart Ljung
10.30 Obemannade Flygande farkoster - Patrick Doherty
11.15 Flygtrafikledning - Matt Cooper
11.30 "Look-ahead control" av lastbilar - Lars Nielsen
12-14 Lunch och visning av C-utställningen
14.00 Collision Avoidance - Fredrik Gustafsson
14.30 Medicinska tillämpningar - Anders Ynnerman/Hans Knutsson
15.00 Demofilm i Domen
15.30 Slut

Past Events

Title:         MOVIII Workshop
Date:        2010-05-18

Time:        9.30-16.00

TISDAGEN DEN 18 MAJ 2010 kommer MOVIII/CADICS att anordna en workshop för att beskriva sin verksamhet. Programmet finns här. Det omfattar både föredrag och postrar.

Workshopen hålls på Linköpings Tekniska högskola, Campus Valla. Den är öppen för alla intresserade. Lunch serveras i Kårallens gästmatsal. Vi tror att programmet kommer att vara givande för alla som har ett tekniskt intresse för autonomi, visualisering, sensor fusion och komplexa system.

Anmäl deltagande till Åsa Karmelind (karasa@isy.liu.se) senast  den 17 maj.

Title:         Multi-agent UAV collision avoidance
Speaker:   Dr. Michal Pechoucek, head of Agent Technology Center and Deputy head of the Department of Cybernetics, Czech Technical University in Prague
Date:        2009-10-05
Time:        15.15-16.00
Place:       Visionen, entrance B27, B-Building, Campus Valla, LiTH
Language: English


Free-flight concept is a modern approach to flexible collision free air traffic control investigated mainly in the context of unmanned aerial assets. Agent Technology Center (ATG) at the Czech Technical University designed and developed AGENTFLY, a multi-agent simulation environment used for a variety of coordinated UAA scenarios. Several collision avoidance methods (e.g. based on visual flight rules, based on peer-to-peer negotiation, based on multi-party interaction or prediction) and a specific A* based planning algorithm were successfully tested and demonstrated in AGENTFLY system. During my talk I will share with the audience experience collected during the AGENTFLY system development, will present several demos and will comment on industrial take up of the system.

Dr. Michal Pechoucek is a head of Agent Technology Center and Deputy head of the Department of Cybernetics, Czech Technical University in Prague (CTU). He is an Associate professor in Artificial Intelligence at CTU. He graduated the University of Edinburgh and completed his Ph.D. in Artificial Intelligence and Biocybernetics at CTU. Michal Pechoucek has acted as a principal investigator on more than 20 research projects funded by AFRL/EOARD, ONR, ARL, CERDEC and FAA. Besides, Michal Pechoucek has collaborated with international industries such as Rockwell Automation, BAE Systems, Cadence Design Systems, TSystems, Denzo and NASA. Michal Pechoucek is a visiting/honorary member of Artificial Intelligence Application Institute, University of Edinburgh, is member of the Advisory board of Center of Advanced Information Technologies at State University of New York, University of Bingahmton where he was a visiting professor, visiting postdoctoral researcher at the University of Calgary and he was a member of the AgentLinkIII European Coordinating Action management committee. Michal Pechoucek is an author or co-author of SCI cited publications in proceedings of international conferences and journal papers, PC member and a co-chair of relevant conferences and workshops. Michal Pechoucek was a chair and is a member of EUMAS advisory board and member of CEEMAS steering committee.

Title:         MOVIII Seminar – What we don't know about Robotic Aircraft or UAS
Speaker:   Professor Rodney Walker, Queensland University of Technology and Australian Research Centre for Aerospace Automation
Date:        2009-05-26
Time:        13.15-14.00
Place:       Visionen, entrance B27, B-Building, Campus Valla, LiTH
Language: English


The ARCAA has been conducting research in the area of robotic aircraft (UAS, UAV, ..) since 1999. In this time the group has been on journey of understanding, beginning with very little knowledge of the problems associated with these vehicle, and looking from the elec eng/computer science perspective.  This talk will address the issues of societal acceptance of UAS, followed by a discussion of current issues associated with regulatory impediments. Specific comment will be made in the Australian context. It will also highlight problems that remain to be solved for UAS.

Research results will be provided for two research thrusts; namely the emergency (or forced) landing problem and the "see and avoid" problem.  These areas being investigated for automation through the use of computer vision techniques. A brief overview and video of our flight test activities for the "Smart Skies" program (an automated aircraft separation program) and our robotic powerline asset inspection program will be provided. Finally, speculation of the future development path, and likely hurdles, for robotic aircraft will be provided.



Rod Walker is the Professor of Aerospace Avionics at the Queensland University of Technology and the Director of the Australian Research Centre for Aerospace Automation (ARCAA).  ARCAA is a joint venture between QUT and the CSIRO ICT Centre.  In his career he been responsible for the development of electromagnetic propagation models (parabolic equation method) to estimate the performance of the GPS in multipath significant environments.  He was also the GPS program leader on an Australia national satellite program "FedSat" working closely with the NASA Jet Propulsion Lab to deliver and operate the GPS payload.  Over the last decade he has turned his attention to the aviation environment and focuses on removing impediments to increasing automation in this context.  He is a private pilot with aerobatic endorsement.  He is on the board of AUVSI Australia and Chairs a National Committee on UAS Regulatory Development. His group has over 30 staff and a custom built facility at Brisbane International Airport.

Title:         MOVIII Distinguished Lecture, Thursday May 28th 9.00-10.00 Wolfram Burgard

                Probabilistic Techniques for Mobile Robot Navigation

Speaker:   Wolfram Burgard, Albert-Ludwigs-Universität Freiburg, Germany

Date:        2009-05-28

Time:        09.00-10.00

Place:       Visionen, entrance B27, B-Building, Campus Valla, LiTH

Language: English



In recent years, probabilistic techniques have enabled novel and innovative solutions to some of the most important problems in mobile robotics.  Major challenges in the context of probabilistic algorithms for mobile robot navigation lie in the questions of how to deal with highly complex state estimation problems and how to control the robot so that it efficiently carries out its task.  In this talk I will discuss both aspects and present an efficient probabilistic approach to solve the simultaneous mapping and localization problem for mobile robots.  I will also describe how this approach can be combined with an exploration strategy that simultaneously takes into account the uncertainty in the pose of the robot and in the map. For all algorithms I will present experimental results, which have been obtained with mobile robots in real-world environments as well as in simulation. I will conclude the presentation with a discussion of open issues and potential directions for future research.


Swedish AI Society Workshop
Date:        2009-05-27 - 2009-05-28


In conjunction with Wolfram Burgard's MOVIII Distinguished Lecture the Swedish AI Society is arranging its yearly workshop at Linköping University. In addition to a number of talks by workshop participants, the workshop features five more interesting invited speakers and a live demonstration of the humanoid robot Nao from Aldebaran Robotics.


This is a great opportunity for MOVIII researchers to get a view of current AI research in Sweden. The registration fee is only 900SEK (students 600SEK) for the two days which includes lunch both days and a dinner on Wednesday evening. If you only want to attend stray talks then you can do so without registering for the workshop if there are empty seats. 


The complete program and registration information is available from the homepage http://www.sais.se/sais2009.



* Wolfram Burgard, Albert-Ludwigs-Universität Freiburg

  Probabilistic techniques for mobile robot navigation

* Tom Ziemke, Skövde University

  Why robots need emotions

* Danica Kragic, KTH

  Vision for object manipulation and grasping

* Patric Jensfelt, KTH

  Spatial Modeling for Cognitive Systems

* Christian Schulte, KTH

  Constraint Programming for Real

* Magnus Merkel, Fodina Language Technology AB

   Title to be announced



Patrick Doherty, Fredrik Heintz and Jonas Kvarnström

SAIS 2009 Organizers


Title:         MOVIII Workshop
Date:        2009-05-14

Time:        10.00-16.00


Den 14 maj 2009 kommer MOVIII att anordna en workshop för att beskriva sin verksamhet. Det omfattar både föredrag och  postrar. Workshopen hålls på Linköpings Tekniska högskola, Campus Valla. Den är öppen för alla intresserade. Lunch serveras i Kårallens gästmatsal. 

Vi tror att programmet kommer att vara givande för alla som har ett tekniskt intresse för autonomi, visualisering, sensor fusion och komplexa system.


Anmäl deltagande till Ulla Salaneck (ulla@isy.liu.se) senast  den 11 maj.


Title:         MOVIII Seminar - Cognition, Control and Learning for Everyday Manipulation Tasks in Human Environments

Speaker:   Michael Beetz, Technische Universität München, Germany

Date:        2009-03-19
Time:        15.15-16.00

Place:       Visionen, entrance B27, B-Building, Campus Valla, LiTH

Language: English



In recent years we have seen tremendous advances in the mechatronic, sensing and computational infrastructure of robots, enabling them to act faster, stronger and more accurately than humans do. Yet, when it comes to accomplishing manipulation tasks in everyday settings, robots often do not even reach the sophistication and performance of young children.  This is partly due to humans having developed their brains into computational and control devices that facilitate knowledge-informed decision making, perspective taking, envisioning activities and their consequences, and predictive control. Brains orchestrate these learning and reasoning mechanisms in order to produce flexible, adaptive, and reliable behavior in real-time. Household chores are an activity domain where the superiority of the cognitive mechanisms in the brain and their role in competent activity control is particularly evident.

In this talk, I will give an overview of the Intelligent Autonomous Systems group's ongoing research in the excellence cluster "Cognition for Technical Systems", in which we investigate --- in an interdisciplinary endeavor --- cognitive mechanisms that are to enable autonomous robots to produce flexible, reliable and high-performance behavior for everyday manipulation activities. The talk will step through the "cognitive perception-action loop" for robot control focusing on the acquisition and use of environment models for housework as a running example.

Short bio:

Michael Beetz is a professor for Computer Science at the Department of Informatics of the Technische Universitaet Muenchen and heads the Intelligent Autonomous Systems group. He is also vice coordinator of the German national cluster of excellence COTESYS (Cognition for Technical Systems) where he is also co-coordinator of the research area ``Knowledge and Learning''.

Michael Beetz received his diploma degree in Computer Science with distinction from the University of Kaiserslautern. He received his MSc, MPhil, and PhD degrees from Yale University in 1993, 1994, and 1996 and his Venia Legendi from the University of Bonn in 2000. Michael Beetz was a member of the steering committee of the European network of excellence in AI planning (PLANET) and coordinating the research area ``robot planning''. He was also principal investigator of a number of research projects in the area of AI-based robot control. His research interests include plan-based control of robotic agents, knowledge processing and representation for robots, integrated robot learning, and cognitive perception.

Title:         PhD Defense : DyKnow: A Stream-Based Knowledge Processing Middleware Framework
Speaker:   Fredrik Heintz, IDA
Opponent: Michael Beetz, Technische Universität München, Germany
Date:        2009-03-20
Time:        13.15-15.00
Place:       Visionen, entrance B27, B-Building, Campus Valla, LiTH
Language: English

As robotic systems become more and more advanced the need to integrate existing deliberative functionalities such as chronicle recognition, motion planning, task planning, and execution monitoring increases. To integrate such functionalities into a coherent system it is necessary to reconcile the different formalisms used by the functionalities to represent information and knowledge about the world. To construct and integrate these representations and maintain a correlation between them and the environment it is necessary to extract information and knowledge from data collected by sensors. However, deliberative functionalities tend to assume symbolic and crisp knowledge about the current state of the world while the information extracted from sensors often is noisy and incomplete quantitative data on a much lower level of abstraction. There is a wide gap between the information about the world normally acquired through sensing and the information that is assumed to be available for reasoning about the world.

As physical autonomous systems grow in scope and complexity, bridging the gap in an ad-hoc manner becomes impractical and inefficient. Instead a principled and systematic approach to closing the sensereasoning gap is needed. At the same time, a systematic solution has to be sufficiently flexible to accommodate a wide range of components with highly varying demands. We therefore introduce the concept of knowledge processing middleware for a principled and systematic software framework for bridging the gap between sensing and reasoning in a physical agent. A set of requirements that all such middleware should satisfy is also described.

A stream-based knowledge processing middleware framework called DyKnow is then presented. Due to the need for incremental refinement of information at different levels of abstraction, computations and processes within the stream-based knowledge processing framework are modeled as active and sustained knowledge processes working on and producing streams. DyKnow supports the generation of partial and context dependent stream-based representations of past, current, and potential future states at many levels of abstraction in a timely manner.

To show the versatility and utility of DyKnow two symbolic reasoning engines are integrated into Dy-Know. The first reasoning engine is a metric temporal logical progression engine. Its integration is made possible by extending DyKnow with a state generation mechanism to generate state sequences over which temporal logical formulas can be progressed. The second reasoning engine is a chronicle recognition engine for recognizing complex events such as traffic situations. The integration is facilitated by extending DyKnow with support for anchoring symbolic object identifiers to sensor data in order to collect information about physical objects using the available sensors. By integrating these reasoning engines into DyKnow, they can be used by any knowledge processing application. Each integration therefore extends the capability of DyKnow and increases its applicability.

To show that DyKnow also has a potential for multi-agent knowledge processing, an extension is presented which allows agents to federate parts of their local DyKnow instances to share information and knowledge.

Finally, it is shown how DyKnow provides support for the functionalities on the different levels in the JDL Data Fusion Model, which is the de facto standard functional model for fusion applications. The focus is not on individual fusion techniques, but rather on an infrastructure that permits the use of many different fusion techniques in a unified framework.

The main conclusion of this thesis is that the DyKnow knowledge processing middleware framework provides appropriate support for bridging the sense-reasoning gap in a physical agent. This conclusion is drawn from the fact that DyKnow has successfully been used to integrate different reasoning engines into complex unmanned aerial vehicle (UAV) applications and that it satisfies all the stated requirements for knowledge processing middleware to a significant degree.

Title:         MOVIII Seminar - Optimal placement of communications relay nodes

Speaker:   Oleg Burdakov, Div. of Optimization, MAI, LiTH

Date:        2009-03-12
Time:        13.15-14.00

Place:       Visionen, entrance B27, B-Building, Campus Valla, LiTH

Language: English



We consider a constrained optimization problem with mixed integer and real variables. It models optimal placement of communications relay nodes. This problem is widely encountered, for instance, in robotics,
where it is required to survey some target located in one point and convey the gathered information back to a base station located in another point. One or more unmanned aerial or ground vehicles (UAVs or
UGVs) can be used for this purpose as communications relays. The number of unmanned vehicles (UVs) is the only integer among the decision variables. The positions of UVs specified by real variables are
assessed by a merit function, and the sum of the function values is to be minimized. We suggest to use an obstructed volume as a merit function, whose value is determined by the UV position and the local
terrain around it. The relay of UVs are required to be placed in the area of interest subject to the following requirements. Firstly, the line segment connecting any consecutive pair of UVs, the base and the
first UV, as well as the last UV and the target, should not intersect with the obstacles (a free line of sight requirement). Secondly, the distance between these pairs should not exceed a given limit defined by
the communication range. Because of these requirements, our constrained optimization problem is a difficult multi-extremal problem for any fixed number of UVs. Moreover, the feasible set of real variables is
typically disjoint. We present an approach that allows us to efficiently find a reasonably accurate approximation to a global minimum in the problem of optimal placement of communications relay
nodes. It is based on a spatial discretization with a subsequent reduction to the shortest path problem.


The case of a restricted number of available UVs is also considered here. We introduce two label correcting algorithms which are able to take advantage of using some peculiarities of the resulting restricted
shortest path problem. The algorithms produce a Pareto solution to the two-objective problem of minimizing the path cost and the number of hops. We prove the correctness of these algorithms. The presented
results of numerical 3D experiments show that our algorithms are superior to the conventional Bellman-Ford algorithm tailored to solving this problem.


Title:         Licentiate Seminar: Regression on Manifolds with Implications to System Identification

Speaker:   Henrik Ohlsson

Date:        2008-12-04
Time:        10.15-12.00

Place:       Visionen, entrance B27, B-Building, Campus Valla, LiTH

Language: Swedish


The trend today is to use many inexpensive sensors instead of a few expensive ones, since the same accuracy can generally be obtained by fusing several dependent measurements. It also follows that the robustness against failing sensors is improved. As a result, the need for high-dimensional regression techniques is increasing.
As measurements are dependent, the regressors will be constrained to some manifold. There is then a representation of the regressors, of the same dimension as the manifold, containing all predictive information. Since the manifold is commonly unknown, this representation has to be estimated using data. For this, manifold learning can be utilized. Having found a representation of the manifold constrained regressors, this low-dimensional representation can be used in an ordinary regression algorithm to find a prediction of the output. This has further been developed in the Weight Determination by Manifold Regularization (WDMR) approach.
In most regression problems, prior information can improve prediction results. This is also true for high-dimensional regression problems. Research to include physical prior knowledge in high-dimensional regression i.e., gray-box high-dimensional regression, has been rather limited, however. We explore the possibilities to include prior knowledge in high-dimensional manifold constrained regression by the means of regularization. The result will be called gray-box WDMR. In gray-box WDMR we have the possibility to restrict ourselves to predictions which are physically plausible. This is done by incorporating dynamical models for how the regressors evolve on the manifold.

Title:         MOVIII Workshop

Date:        2008-05-06
Time:        9.30-16.00

Place:       Visionen, entrance B27, B-Building, Campus Valla, LiTH

Language: English


9.30-9.45     Coffee

9.45-10.45   Lennart Ljung and Billy Fredriksson: Introduction
                  John Baras: Systematic engineering design

                  Patric Doherty and Gianpaolo Conte: Competing with unmanned aerial vehicles

10.45-11.15 Introduction to poster session (information modelling, integration and interaction)
11.15-12.00 Poster Session
12.00-13.00 Lunch, Gästmatsalen, Kårallen
13.00-13.30 Hans Knutsson: fMRI from a signal processing perspective
13.30-15.00 Poster Session  and refreshments
15.00-15.30 Malik Ghallab: INRIA, Strategic Plan 2008-2012
15.30-16.00 Summary, comments from the advisory board and best poster award


Please send notify Ulla Salaneck (ulla@isy.liu.se) if you want to participate in the lunch no

later than Monday, May 5.

Title:         MOVIII Meeting - Ljus

Date:        2008-04-21
Time:        13.15-15.00

Place:       Täppan, rum TP43, Norrköping

Language: English


Title:         MOVIII Meeting - Progress Update of the Villa Fridhem Projects

Date:        2008-02-12
Time:        13.15-17.00

Language: English


Title:         MOVIII meeting

Date:        2007-11-12
Time:        13:15
Place:       Systemet, B-huset, ing 27, Campus Valla, LiTH
Language: English


Title:           MOVIII planning meeting
Date:          2007-10-10 - 2007-10-11 
Place:         Villa Fridhem

Title:         Licentiate Seminar: Look-ahead Control of Heavy Trucks utilizing Road Topography

Speaker:   Erik Hellström
Date:        2007-06-13
Time:        10:15
Place:       Visionen, B-huset, ing 27, Campus Valla, LiTH
Language: English


The power to mass ratio of a heavy truck causes even moderate slopes to have a significant influence on the motion. The velocity will inevitable vary within an interval that is primarily determined by the ratio and the road topography. If further variations are actuated by a controller, there is a potential to lower the fuel consumption by taking the upcoming topography into account. This possibility is explored through theoretical and simulation studies as well as experiments in this work.

Look-ahead control is a predictive strategy that repeatedly solves an optimization problem online by means of a tailored dynamic programming algorithm. The scenario in this work is a drive mission for a heavy diesel truck where the route is known. It is assumed that there is road data on-board and that the current heading is known. A look-ahead controller is then developed to minimize fuel consumption and trip time.

The look-ahead control is realized and evaluated in a demonstrator vehicle and further studied in simulations. In the prototype demonstration, information about the road slope ahead is extracted from an on-board database in combination with a GPS unit. The algorithm calculates the optimal velocity trajectory online and feeds the conventional cruise controller with new set points. The results from the experiments and simulations confirm that look-ahead control reduces the fuel consumption without increasing the travel time. Also, the number of gear shifts is reduced. Drivers and passengers that have participated in tests and demonstrations have perceived the vehicle behavior as comfortable and natural.


         MOVIII Seminar - fMRI

Speaker:   Hans Knutsson, Joakim Rydell, Anders Brun and Henrik Ohlsson
Date:        2007-06-15
Time:        13:15-15:00
Place:       Systemet, entrance B27, B-Building, Campus Valla, LiTH
Language: English


Imaging of Brain Activity using fMRI is one of three demonstrator projects in MOVIII. The main goal of the project is to close the loop and create a stimulus based on the measured fMRI response. This opens up a whole new dimension in the field. The brain could for example be steered into the predefined state of maximum relaxation or concentration. There are many possibilities and questions. We hope to given an introduction to the field and to share some of our questions and enthusiasm.


The talk will be divided into four parts.


Hans Knutsson, IMT:

An introduction to the field of magnetic resonance imaging will be given. The focus will be on how magnetic gradients are used to produce images, and on the relaxation processes which generate the fMRI signal.


Joakim Rydell, IMT:

Analysis methods of fMRI data will be exemplified. How is data from the MR scanner analyzed to detect active regions in the brain? Two methods for adaptive filtering and analysis will be presented.


Anders Brun, IMT:

Non-linear dimensionality reduction or manifold learning is a hot topic which is highly relevant for the project. We will discuss the impact and use of these methods for signal and image processing tasks relevant to the MOVIII community.


Henrik Ohlsson, ISY:

Last, an update of the current status of the demonstrator. Interesting questions will be brought up, a look in the future and hopefully some discussion.


Title:         MOVIII Workshop
Date:        2007-05-09
Time:        9.30-16.00
Place:       Visionen, entrance B27, B-Building, Campus Valla, LiTH
Language: English

For further information see the program.

Title:            MOVIII Seminar - Navigating UAV’s
Speaker:    Fredrik Gustafsson, Rickard Karlsson and Gianpaolo Conte
Date:        2007-04-12
Time:        13:15-14:00
Place:       Glashuset, entrance B25, B-Building, Campus Valla, LiTH

Language: English

The MOVIII UAV demonstrator should as a first milestone be able to autonomously find its way back to homebase without relying on GPS. To prevent drift from dead-reckoning inertial sensor information, visual support is needed. This presentation overviews recent research to reach this goal:

1)       Visual odometry by correlating video frames to satellite images,

2)       The Harris feature detector to locate natural landmarks, and new results on its statistical properties (bias and variance).

3)       The new algorithm on fast MPF SLAM (simultaneous localization and mapping).  Fast SLAM is a recent algorithm developed by the robot community. The adaptive map here consists of detected landmarks using the Harris detector, and tracking these stabilizes drift. MPF refers to that dynamical models of large state dimension can be used in the navigation filter.

The fast MPF SLAM algorithm will be the heart of the sensor fusion algorithm, where visual odometry and Harris features are used as inputs. The subjects in the talk will be illustrated on data from recent field trials.

Title:           Programming Cognitive Agents
Speaker:   Professor Dr. John-Jules Meyer, Universiteit Utrecht, Dept. of Information and Computing Sciences
Date:        2007-03-13
Time:        13:15-14:00
Place:       Alan Turing, E-Building, Campus Valla, LiTH

Language: English

After a general introduction of the concept and philosophical background of (cognitive) agents I discuss some of the work we have done in Utrecht on agent programming, in particular the languages 3APL/2APL, as well as work on multi-agent systems (including the OperA methodology and normative systems). I will also discuss briefly some of the applications we are currently working on.

Title:         MOVIII Workshop - Information Modeling
Date:        2007-03-12
Time:        13:15-17:00
Place:       Systemet, entrance B27, B-Building, Campus Valla, LiTH
Language: English

13.15 Volume Haptics, Anders Ynnerman

14.00 Break

14.15 Interaction Haptic with Dynamic or Deformable Volume Data, Karljohan Lundin Palmerius

15.00 Haptics, demonstration and coffee

16.00 Identification on Manifolds, Lennart Ljung and Henrik Ohlsson

16.15 Convergence of Nonlinear Filters, Lennart Ljung

Title:         DyKnow - A Knowledge Processing Middleware
Speaker:   Patrick Doherty and Fredrik Heintz, LiTH, IDA
Date:        2007-03-01
Time:        13:15-14:00
Place:       Glashuset, entrance B25, B-Building, Campus Valla, LiTH
Language: English

Any autonomous system embedded in a dynamic and changing environment must be able to create qualitative knowledge and object structures representing aspects of its environment on the fly from raw or preprocessed sensor data in order to reason qualitatively about the environment and to supply such state information to other nodes in the distributed network in which it is embedded. These structures must be managed and made accessible to deliberative and reactive functionalities whose successful operation is dependent on being situationally aware of the changes in both the robotic agent's embedding and internal environments. DyKnow is a knowledge processing middleware framework which provides a set of functionalities for contextually creating, storing, accessing and processing such structures. This talk will give a concrete introduction to DyKnow and its functionalities.

Title:         Simultaneous Localization and Mapping
Speaker:   David Törnqvist and Jeroen Hol, LiTH, ISY / Division of Automatic Control
Date:        2006-12-11
Time:        13:15-14:00
Place:       Algoritmen, entrance B27, B-Building, Campus Valla, LiTH
Language: English

Simultaneous Localization and Mapping (SLAM) is the process where a map is built from measurement data at the same time as the vehicle location is determined. The almost finished MATRIS project focuses on the localization part and assumes that the map is known. Some recent results will be presented as well as our attempts to extend this to complete SLAM.

See also the events listed for the different teams:

Seminars at Automatic Control