activity
20172025
most citedEmergence of Locomotion Behaviours in Rich Environments

668 citations · 1.8k across the 13 of their papers we have counts for

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10 papers · 1 filter

cs.RO2025

Motion Tracking with Muscles: Predictive Control of a Parametric Musculoskeletal Canine Model

Vittorio La Barbera, Steven Bohez, Leonard Hasenclever +2

We introduce a novel musculoskeletal model of a dog, procedurally generated from accurate 3D muscle meshes. Accompanying this model is a motion capture-based locomotion task compat…

cs.RO2025

Whole-Body Model-Predictive Control of Legged Robots with MuJoCo

John Z. Zhang, Taylor A. Howell, Zeji Yi +6

We demonstrate the surprising real-world effectiveness of a very simple approach to whole-body model-predictive control (MPC) of quadruped and humanoid robots: the iterative LQR (i…

cs.RO20251 cited

MuJoCo Playground

Kevin Zakka, Baruch Tabanpour, Qiayuan Liao +10

We introduce MuJoCo Playground, a fully open-source framework for robot learning built with MJX, with the express goal of streamlining simulation, training, and sim-to-real transfe…

cs.RO2024

Achieving Human Level Competitive Robot Table Tennis

David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser +24

Achieving human-level speed and performance on real world tasks is a north star for the robotics research community. This work takes a step towards that goal and presents the first…

cs.RO2023

Efficient Online Learning of Contact Force Models for Connector Insertion

Kevin Tracy, Zachary Manchester, Ajinkya Jain +4

Contact-rich manipulation tasks with stiff frictional elements like connector insertion are difficult to model with rigid-body simulators. In this work, we propose a new approach f…

cs.RO202220 cited

Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors

Steven Bohez, Saran Tunyasuvunakool, Philemon Brakel +18

We investigate the use of prior knowledge of human and animal movement to learn reusable locomotion skills for real legged robots. Our approach builds upon previous work on imitati…