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Whole-Body Model Predictive Control for Mobile Manipulation with Task Priority Transition
Motion Planning for Mobile Manipulators with Physical Contact in Uncertain Environment (ICRA 2021)
Transfer Learning Enhancing Bayesian Optimization for 2D Camera-Based Robotic Manipulation
HRT1: One-Shot Human-to-Robot Trajectory Transfer for Mobile Manipulation
Evaluation of an Interactive Learning Framework for Robot Manipulators
Dynamic object goal pushing with mobile manipulators through constrained reinforcement learning
Semi-autonomous surface-tracking tasks using omnidirectional mobile manipulators [ICRA 2024]
R-LGP:A Reachability-guided LGP Framework for Optimal Task and Motion Planning on Mobile Manipulator
Model Predictive Robot-Environment Interaction Control for Mobile Manipulation Tasks
Whole-Body MPC for a Dynamically Stable Mobile Manipulator
Sequential Asymmetric Imitation for Learning Coupled Robot Policies
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Last Updated: September 30, 2026
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Summary
Journal: Robotics and Automation Letters. Presented @ IROS 2022 | Paper link: doi.org/10.1109/LRA.2022.3187258 ... OLD Version! our latest edit here: youtu.be/wotzfcpcAU0 Journal: Robotics and Automation Letters. Presented ... In this video our data-efficient reinforcement Robots are increasingly required to quickly identify, grasp, and autonomously manipulate parts, even in cluttered environments. We introduce a novel system for human-to-robot trajectory transfer that enables robots to manipulate objects by Title: Dynamic object goal pushing with Modern, torque-controlled service robots can reg- ulate contact forces when interacting with their environment. Model Predictive ... Project demo for “Sequential Asymmetric Imitation for
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![Semi-autonomous surface-tracking tasks using omnidirectional mobile manipulators [ICRA 2024]](https://i.ytimg.com/vi/QxsRS1DtmuI/mqdefault.jpg)
