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IROS
2006
IEEE
121views Robotics» more  IROS 2006»
13 years 11 months ago
Planning and Acting in Uncertain Environments using Probabilistic Inference
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
Deepak Verma, Rajesh P. N. Rao
AAAI
2004
13 years 7 months ago
Generating Safe Assumption-Based Plans for Partially Observable, Nondeterministic Domains
Reactive planning using assumptions is a well-known approach to tackle complex planning problems for nondeterministic, partially observable domains. However, assumptions may be wr...
Alexandre Albore, Piergiorgio Bertoli
AAAI
2000
13 years 6 months ago
A Logic for Planning under Partial Observability
We propose an epistemic dynamic logic EDL able to represent the interactions between action and knowledge that are fundamental to planning under partial observability. EDL enables...
Andreas Herzig, Jérôme Lang, Dominiqu...
AAAI
2006
13 years 7 months ago
Reasoning about Partially Observed Actions
Partially observed actions are observations of action executions in which we are uncertain about the identity of objects, agents, or locations involved in the actions (e.g., we kn...
Megan Nance, Adam Vogel, Eyal Amir
AI
2007
Springer
13 years 5 months ago
Learning action models from plan examples using weighted MAX-SAT
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
Qiang Yang, Kangheng Wu, Yunfei Jiang