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» Complexity Levels of Representing Dynamics in EA Planning
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IROS
2007
IEEE
125views Robotics» more  IROS 2007»
14 years 2 months ago
Probabilistic inference for structured planning in robotics
Abstract— Real-world robotic environments are highly structured. The scalability of planning and reasoning methods to cope with complex problems in such environments crucially de...
Marc Toussaint, Christian Goerick
ICRA
2009
IEEE
248views Robotics» more  ICRA 2009»
14 years 3 months ago
Moving obstacle detection in highly dynamic scenes
Abstract— We address the problem of vision-based multiperson tracking in busy pedestrian zones using a stereo rig mounted on a mobile platform. Specifically, we are interested i...
Andreas Ess, Bastian Leibe, Konrad Schindler, Luc ...
AAAI
2010
13 years 10 months ago
Search-Based Path Planning with Homotopy Class Constraints
Goal-directed path planning is one of the basic and widely studied problems in the field of mobile robotics. Homotopy classes of trajectories, arising due to the presence of obsta...
Subhrajit Bhattacharya
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
14 years 3 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
AAAI
2004
13 years 9 months ago
High-Level Goal Recognition in a Wireless LAN
Plan recognition has traditionally been developed for logically encoded application domains with a focus on logical reasoning. In this paper, we present an integrated plan-recogni...
Jie Yin, Xiaoyong Chai, Qiang Yang