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Globally Optimal Redundancy Resolution with Dynamic Programming for Robot Planning: A ROS Implementation.

, , and . Robotics, 10 (1): 42 (2021)

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A Dynamic Programming Framework for Optimal Planning of Redundant Robots Along Prescribed Paths With Kineto-Dynamic Constraints., , , and . CoRR, (2022)Discrete fully probabilistic design: a tool to design control policies from examples., , and . CoRR, (2021)Time-Optimal Trajectory Planning with Interaction with the Environment., , and . CoRR, (2022)Observation vs. interaction in the recognition of human-like movements., , , , and . Frontiers Robotics AI, (September 2023)Two-Stage Time-Optimal Planning of Robots Along Pre-Scribed Paths with Integral Optimization of Redundancy., , and . CoDIT, page 1471-1476. IEEE, (2023)Redundancy Parametrization in Globally-Optimal Inverse Kinematics., and . ARK, volume 8 of Springer Proceedings in Advanced Robotics, page 47-55. Springer, (2018)Discrete fully probabilistic design: towards a control pipeline for the synthesis of policies from examples., , and . MED, page 759-764. IEEE, (2023)Experimental Validation of an Actor-Critic Model Predictive Force Controller for Robot-Environment Interaction Tasks., , , , , , and . ICINCO (1), page 394-404. SCITEPRESS, (2023)Scaling Population-Based Reinforcement Learning with GPU Accelerated Simulation., , , , , , , and . CoRR, (2024)Planning of efficient trajectories in robotized assembly of aerostructures exploiting kinematic redundancy., , and . CoRR, (2021)