[Submitted on 27 Jul 2026]
Title:Motion Generation With Environmental Constraints
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Abstract:Robot motion planning faces challenges in high-dimensional spaces and uncertain environments, often constrained by the need for collision-free motions. We advocate an alternative approach, Environmental Constraint Exploitation (ECE), where deliberate contact with the environment simplifies planning by reducing dimensionality and computational complexity. By integrating ECE into motion planning algorithms, we bias exploration to task-relevant regions and leverage contact for uncertainty reduction to improve robustness during execution. We evaluate ECE benefits with RRT-based planners and demonstrate their practical benefits in a real-world application. This work consolidates and extends prior research, showcasing how ECE simplifies motion planning while enhancing adaptability and performance in complex environments.
Subjects:
Robotics (cs.RO)
Cite as: arXiv:2607.25053 [cs.RO]
(or arXiv:2607.25053v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2607.25053
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Előd Páll [view email] [v1] Mon, 27 Jul 2026 20:31:40 UTC (11,884 KB)
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