MuJoCo
Emerging38papers using it
2024first seen
MuJoCo is a simulation environment that contains models for evaluating the performance of robotic systems, specifically used in this paper to demonstrate the effectiveness of a tendon-based control method for a high-dof anthropomorphic hand model.
Papers using MuJoCo (38)
- Benchmarking Model Predictive Control and Reinforcement Learning Based Control for Legged Robot Locomotion in MuJoCo SimulationRGB: RL Guided Whole-Body MPPI for Humanoid ControlSTATE-NAV: Stability-Aware Traversability Estimation for Bipedal Navigation on Rough TerrainUnified Multi-Rate Model Predictive Control for a Jet-Powered Humanoid RobotSIMPLE: Simulation-Based Policy Learning and Evaluation for Humanoid Loco-manipulationRight Model, Right Time: Real-Time Cascaded-Fidelity MPC for Bipedal WalkingAn Aerial Manipulator for Perception-Driven Flower Targeting Toward Contactless Pollination in Vertical FarmingEvaluation of an Actuated Spine in Agile Quadruped LocomotionMVB-Grasp: Minimum-Volume-Box Filtering of Diffusion-based Grasps for Frontal ManipulationReal-Time Whole-Body Teleoperation of a Humanoid Robot Using IMU-Based Motion Capture with Sim2Sim and Sim2Real ValidationA Dexterous and Compliant Gripper With Soft Hydraulic Actuation for Microgravity ManipulationDexora: Open-source VLA for High-DoF Bimanual DexterityARC-RL: A Reinforcement Learning Playground Inspired by ARC RaidersLearning-Based Strategy for Composite Robot Assembly Skill AdaptationGenerativeMPC: VLM-RAG-guided Whole-Body MPC with Virtual Impedance for Bimanual Mobile ManipulationRecoverFormer: End-to-End Contact-Aware Recovery for Humanoid RobotsasRoBallet: Closing the Sim2Real Gap via Friction-Aware Reinforcement Learning for Underactuated Spherical DynamicsHierKick: Hierarchical Reinforcement Learning for Vision-Guided Soccer Robot ControlLearning From Failures: Efficient Reinforcement Learning Control with Episodic MemoryEmbedding Classical Balance Control Principles in Reinforcement Learning for Humanoid RecoveryPartial Motion Imitation for Learning Cart Pushing with Legged ManipulatorsBridging the Sim-to-Real Gap with multipanda ros2: A Real-Time ROS2 Framework for Multimanual SystemsTendon-based modelling, estimation and control for a simulated high-DoF anthropomorphic hand modelHumanoid Robot Running Through Random Stepping Stones and Jumping Over Obstacles: Step Adaptation Using Spring-Mass TrajectoriesA Framework for Deploying Learning-based Quadruped Loco-ManipulationCENIC: Convex Error-controlled Numerical Integration for ContactSampling-Based Optimization with Parallelized Physics Simulator for Bimanual ManipulationBridge the Gap: Enhancing Quadruped Locomotion with Vertical Ground PerturbationsTacRefineNet: Tactile-Only Grasp Refinement Between Arbitrary In-Hand Object PosesSensory-motor Control With Large Language Models Via Iterative Policy RefinementModular Recurrence In Contextual Mdps For Universal Morphology ControlOut-of-distribution Generalization With A SPARC: Racing 100 Unseen Vehicles With A Single PolicyH2-COMPACT: Human-Humanoid Co-Manipulation via Adaptive Contact Trajectory PoliciesAdapting World Models With Latent-state Dynamics ResidualsAdversarial Locomotion and Motion Imitation for Humanoid Policy LearningTransformable Modular Robots: A CPG-Based Approach to Independent and Collective LocomotionBehavioral Entropy-guided Dataset Generation For Offline Reinforcement LearningBODex: Scalable and Efficient Robotic Dexterous Grasp Synthesis Using Bilevel Optimization