MimicKit: A Reinforcement Learning Framework for Motion Imitation and Control
On the map: Deep reinforcement learning methods → RL for robot locomotion and manipulation
Abstract (arXiv)
MimicKit is an open-source framework for training motion controllers using motion imitation and reinforcement learning. The codebase provides implementations of commonly-used motion-imitation techniques and RL algorithms. This framework is intended to support research and applications in computer graphics and robotics by providing a unified training framework, along with standardized environment, agent, and data structures. The codebase is designed to be modular and easily configurable, enabling convenient modification and extension to new characters and tasks. The open-source codebase is available at: https://github.com/xbpeng/MimicKit.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Placed in RL for robot locomotion and manipulation, one of 15 directions in Deep reinforcement learning methods. Builds on 2 of its 10 references that are in the map. First posted on arXiv 15 Oct 2025.
Builds on
2 of 10 references.
References · 2
Built on by
Citing papers per year: 2026: 10.
10 papers.
- 2026RigidFormer: Learning Rigid Dynamics using Transformerscited by 3
- 2026PDF-HR: Pose Distance Fields for Humanoid Robotscited by 1
- 2026EmbodMocap: In-the-Wild 4D Human-Scene Reconstruction for Embodied Agentscited by 1
- 2026SynAgent: Generalizable Cooperative Humanoid Manipulation via Solo-to-Cooperative Agent Synergycited by 0
- 2026SWIM: Compact Environment Representation for Reinforcement Learning Human Swimmingcited by 0
- 2026Kine2Go: Kinematic dataset for the Unitree Go2 robot with diverse gaits and motionscited by 0
- 2026Policy-as-Data: Learning Generalizable HOI Diffusion Models from Simulated Physicscited by 0
- 2026PFM-HR: Pose Flow Matching for Humanoid Robotscited by 0
- 2026Flow-Matched Motion Priors: Online Optimal-Transport Rewards for Imitation Learningcited by 0
- 2026DSD: Learning Diverse and Reusable Motor Skills via Diffusion Skill Discoverycited by 0
- 2026DSD: Learning Diverse and Reusable Motor Skills via Diffusion Skill Discovery15 Sep 2026
- 2026Flow-Matched Motion Priors: Online Optimal-Transport Rewards for Imitation Learning14 Sep 2026
- 2026PFM-HR: Pose Flow Matching for Humanoid Robots4 Aug 2026
- 2026Policy-as-Data: Learning Generalizable HOI Diffusion Models from Simulated Physics22 Jun 2026
- 2026Kine2Go: Kinematic dataset for the Unitree Go2 robot with diverse gaits and motions12 Jun 2026
- 2026SWIM: Compact Environment Representation for Reinforcement Learning Human Swimming29 May 2026
- 2026RigidFormer: Learning Rigid Dynamics using Transformers9 May 2026
- 2026SynAgent: Generalizable Cooperative Humanoid Manipulation via Solo-to-Cooperative Agent Synergy20 Apr 2026
- 2026EmbodMocap: In-the-Wild 4D Human-Scene Reconstruction for Embodied Agents26 Feb 2026
- 2026PDF-HR: Pose Distance Fields for Humanoid Robots4 Feb 2026
Similar, not cited
Close in wording, no citation either way
- 2019Relational Mimic for Visual Adversarial Imitation Learning
- 2023MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
- 2025RoboManipBaselines: A Unified Framework for Imitation Learning in Robotic Manipulation across Real and Simulation Environments
- 2023MimicPlay: Long-Horizon Imitation Learning by Watching Human Play
- 2021RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning
- 2022Interactive Imitation Learning in Robotics: A Survey
- 2022imitation: Clean Imitation Learning Implementations
- 2023Programmatic Imitation Learning from Unlabeled and Noisy Demonstrations