Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Erez Karpas"'
Publikováno v:
IEEE Robotics and Automation Letters. 7:10518-10525
Robotic planning in real-world scenarios typically requires joint optimization of logic and continuous variables. A core challenge to combine the strengths of logic planners and continuous solvers is the design of an efficient interface that informs
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 15:83-90
In online planning, search is concurrent with execution. Under the formulation of planning as heuristic search, when a planner commits to an action, it re-roots its search tree at the node representing the outcome of that action. For the system to re
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 32:279-287
Robots operating in the real world must combine task planning for reasoning about what to do with motion planning for reasoning about how to do it -- this is known as task and motion planning. One promising approach for task and motion planning is Lo
Autor:
Erez Karpas
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 32:174-178
In some scenarios, an agent may want to prepare for achieving one of several possible goals, by reaching some state which is close (according to some metric) to all possible goals. Recently, this task was formulated as finding centroids (which minimi
Publikováno v:
Journal of Optimization Theory and Applications. 192:725-757
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 12:88-96
In a multi-agent environment, each agent must take into account not only the actions it must perform to achieve its goals, but also the behavior of other agents in the system, which usually requires some sort of coordination between the agents. One w
Publikováno v:
2022 26th International Conference on Methods and Models in Automation and Robotics (MMAR).
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 29:246-254
Given an environment, the utility measure of the agents acting within it, a set of possible environment modifications, and a description of design constraints, the objective of equireward utility maximizing design (ER-UMD) is to find a valid sequence
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 29:665-673
Planning enables intelligent agents, such as robots, to act so as to achieve their long term goals. To make the planning process tractable, a relatively low fidelity model of the world is often used, which sometimes leads to the need to replan. The t
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:6049-6057
Robots operating in the real world must deal with uncertainty, be it due to working with humans who are unpredictable, or simply because they must operate in a dynamic environment. Ignoring the uncertainty is dangerous, while accounting for all possi