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Paper · arXiv

Leveraging Inter-object Affordances for Efficient Planning in Contact-rich Tasks

Traditional task-and-motion planning (TAMP) approaches primarily focus on defining sequences of actions along with the necessary geometric and kinematic constraints to execute long-horizon tasks. However, their applicability in real-world settings is limited, as they typically assume simplified object models that overlook key physical properties critical for the successful execution of contact-rich tasks. Moreover, they often use sub-symbolic reasoning during motion planning, which drastically increases planning time and decreases overall success rates. We propose a method that leverages a TAMP approach, defining object-centric abstractions of execution constraints, called Unified TAMP (U...

AuthorsPouya P. Niaz, Justus Piater, Alejandro Agostini
Primary categorycs.RO
Published26 August 2026
Last updated at source26 August 2026
cs.ROcs.AI
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