arXiv AI
HygieneRoboBench: Benchmarking Hygiene-Aware Planning for Household Robots
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Hugging Face Trending Papers
1d ago
HygieneRoboBench: Benchmarking Hygiene-Aware Planning for Household Robots
Contact with contaminated objects can spread hazards through a household robot's grippers, tools, and shared surfaces, while new contacts can make an existing plan unsafe. Existing benchmarks do not j...
arXiv AI
Jun 3
RobotValues: Evaluating Household Robots When Human Values Conflict
arXiv:2606. 03312v1 Announce Type: cross Abstract: While household robots are often evaluated based on task completion, everyday domestic environments involve value-conflicting situations in which robots are expected to choose actions that prioritize other values than task success, such as human autonomy, efficiency, or social appropriateness.
arXiv AI
Jul 23
Courteous Anticipation: Improving Long-Lived Task Planning in Persistent Shared Environments
arXiv:2607. 20289v1 Announce Type: cross Abstract: We consider a task planning scenario in which robots sharing a persistent environment are assigned tasks one at a time from a held-out sequence.
arXiv AI
Jun 26
WatchAct: A Benchmark for Behavior-Grounded Robot Manipulation
arXiv:2606. 26443v1 Announce Type: cross Abstract: A robot working alongside people must reason about what they have done, in what order, and with what intent.
arXiv AI
6d ago
Constant-Time Planning for Chaining Collision-free Motion to Manipulation Behaviors
The paper introduces the Behavioral Constant-Time Motion Planner (B-CTMP), an extension of Constant-Time Motion Planning that handles two-step manipulation tasks in semi-structured environments. B-CTMP constructs neighborhoods in object-pose space and uses statistical certification to ensure a user-specified success rate, caching plans only when repeated rollouts meet this threshold. The method is evaluated on shelf picking, plug insertion, and wheel replacement, showing consistent success where baseline planners fail and rejecting infeasible poses in constant time.
arXiv AI
Sep 30
LIBERO-MAX: Do Robot Policies Adapt When the World Changes?
arXiv:2609.36518v1 Announce Type: cross Abstract: Robots must often continue a task after a target moves, the viewpoint shifts, or an obstacle appears, even though their earlier observations and comm...