Josh Merel

Robotics Research (United States) — United States

Computer Science · Physical Sciences

28h-index5.0kcitations75works9.92yr avg
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Research Topics

Reinforcement Learning in Robotics(32), Human Pose and Action Recognition(16), Robot Manipulation and Learning(14), Neural dynamics and brain function(11), Robotic Locomotion and Control(8)

Publications74 total

DEEP DIVE INTO MODEL-FREE REINFORCEMENT LEARNING FOR UNDERWATER LOCOMOTION: THEORY AND PRACTICE
Bioinspiration & Biomimetics·2026Open Access
Fauna Sprout: A lightweight, approachable, developer-ready humanoid robot
ArXiv.org·2026Open Access
Fauna Sprout: A lightweight, approachable, developer-ready humanoid robot
arXiv (Cornell University)·2026Open Access
Author Correction: A virtual rodent predicts the structure of neural activity across behaviours
Nature·2025· 1 citedOpen Access
Whole-body physics simulation of fruit fly locomotion
Nature·2025· 16 citedOpen Access
Sensing flow gradients is necessary for learning autonomous underwater navigation
Nature Communications·2025· 7 citedOpen Access
emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation
arXiv (Cornell University)·2024· 2 citedOpen Access
A virtual rodent predicts the structure of neural activity across behaviours
Nature·2024· 53 citedOpen Access
Deep Dive into Model-free Reinforcement Learning for Biological and Robotic Systems: Theory and Practice
arXiv (Cornell University)·2024· 3 citedOpen Access
Whole-body simulation of realistic fruit fly locomotion with deep reinforcement learning
2024· 24 citedOpen Access
emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation
2024· 2 cited
Universal Humanoid Motion Representations for Physics-Based Control
arXiv (Cornell University)·2023· 4 citedOpen Access
Figure Data for the paper "From Motor Control to Team Play in Simulated Humanoid Football"
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Figure Data for the paper "From Motor Control to Team Play in Simulated Humanoid Football"
2022Open Access
From motor control to team play in simulated humanoid football
Science Robotics·2022· 77 cited
Data augmentation for efficient learning from parametric experts
arXiv (Cornell University)·2022· 2 citedOpen Access
Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors
arXiv (Cornell University)·2022· 20 citedOpen Access
NeuPL: Neural Population Learning
arXiv (Cornell University)·2022· 1 citedOpen Access
Learning Transferable Motor Skills with Hierarchical Latent Mixture\n Policies
arXiv (Cornell University)·2021· 1 citedOpen Access
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies
arXiv (Cornell University)·2021· 2 citedOpen Access
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Frequent Co-authors

Nicolas Heess(31), Yuval Tassa(16), Greg Wayne(13), Saran Tunyasuvunakool(13), Liam Paninski(11), Leonard Hasenclever(11), Nando de Freitas(9), Tom Erez(8), Ziyu Wang(8), Arun Ahuja(6), Vu Pham(6), Guy Lever(6), Thore Graepel(6), Eftychios A. Pnevmatikakis(5), Raia Hadsell(5), Alexander Novikov(5), Konrad Żołna(5), Noah Siegel(5), Çaǧlar Gülçehre(5), Martin Riedmiller(4)