Part 2 - How to Solve Inverse Kinematics of a 4 Leg Robot
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Part 3 (Final) - How to Solve Inverse Kinematics of a 4 Leg Robot
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Part 1 - How to Solve Inverse Kinematics of a 4 Leg Robot
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模型预测控制 (MPC) 从推导到C++ 实现，详细教程 仅使用 Eigen 库 代码在简介
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ICRA 24 Convergent iLQR for Safe Trajectory Planning and Control of Legged Robot
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(T-RO 24)Tube Acceleration:Robust Dexterous Throwing against Release Uncertainty
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Inverse-Dynamics MPC via Nullspace Resolution (IROS'23 Presentation)
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人形机器人足底机械结构设计
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通过优化理论指导设计双足以达到控制和任务的最优
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Meet the Futuristic Military Robot Dog
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How to design nonlinear MPC with deep learning prediction model
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Learning whole-body manipulation for quadrupedal robot
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(submit to IROS 24) A Single-Leg Robot that Mimics the Human Leg and Toe
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Model and data, two essential ingredients for controlling legged robot
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solving the walking robot problem with reinforcement learning
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SCIENCE ROBOTICS: Dynamic locomotion synchronization via bilateral tele
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Deep Compliant Control for Legged Robots
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Vision-Based Terrain-Aware Locomotion for Legged Robots ---T-RO
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Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement
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MIT Robotics - Marco Hutter - Robots in the wild
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Humanoid robot research result highlights in 2021
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Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion
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Conflict-based Model Predictive Control for Scalable Multi-Robot Motion Planning
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有开源github代码！ RA-L论文 人形机器人的多接触全身控制
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The MIT Humanoid Robot Design Motion Planning and Control ForAcrobatic Behaviors
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The legged robot whole-body State RVIZ plugin
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SpotMini nimble robot by Boston Dynamics
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Online Multi-Contact Receding Horizon Planning via Value Function Approximation
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High-Power, Flexible, and Robust Musculoskeletal Hand (IROS 2017)
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EAGLE: The First Event Camera Dataset Gathered by an Agile Quadruped Robot
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A Distributed Processing Approach for Smooth Task Transitioning in SHC
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Pedipulate_ Enabling Manipulation Skills using a Quadruped Robot's Leg
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Sampling based path replanning
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Large-scale policy training for robots -Jemin Hwangbo (KAIST)
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(T-RO 23) An Efficient Paradigm For Feasibility Guarantees For Legged Robots
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(RA-L 2024) Design Optimization of Wire Arrangement for Tendon-driven Robots
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(RA-L 23) Reactive Landing Controller for Quadruped Robots
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博士论文答辩 - Alexander Schperberg - 统一基于模型的优化和机器学习
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what is a ROS2 service P10
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Control is dead ？control+ learning才是未来
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Combining Learning-Based Locomotion with Model-Based Manipulation for Legged