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cs.RO2024
Planning and Inverse Kinematics of Hyper-Redundant Manipulators with VO-FABRIK
Cristian Morasso, Daniele Meli, Yann Divet +2
Hyper-redundant Robotic Manipulators (HRMs) offer great dexterity and flexibility of operation, but solving Inverse Kinematics (IK) is challenging. In this work, we introduce VO-FA…
cs.AI2024★ 5 cited
Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach
Daniele Meli, Alberto Castellini, Alessandro Farinelli
Partially Observable Markov Decision Processes (POMDPs) are a powerful framework for planning under uncertainty. They allow to model state uncertainty as a belief probability distr…