InterMimicGen: Scaling Humanoid Loco-Manipulation through Self-Evolving Motion Imitation - 2026-10-05 - Research Publication - InterMimicGen couples humanoid motion references with a learned tracker in an iterative data-generation loop. It retargets human-object interactions to several embodiments and demonstrates selected motions on physical G1… - source: arxiv.org
Vision-Based Dribbling for Humanoid Soccer via Privileged Representation Learning - 2026-07-14 - Research Publication - The authors propose an integrated approach in which a temporal depth encoder is embedded into a reinforcement learning policy through a task-specific projection layer. - source: arxiv.org
Reinforcement Learning-Based Control for an Inline Skating Humanoid Robot - 2026-06-30 - Research Publication - A Booster T1 fitted with commercial inline skates executes learned skating control. - source: arxiv.org
Booster Lab: A Data-Centric Pipeline for Learning Deployable Humanoid Locomotion Policies - 2026-06-26 - Research Publication - The pipeline supports outdoor T1 locomotion and stable physical K1 running. - source: arxiv.org
VOFA: Visual Object Goal Pushing with Force-Adaptive Control for Humanoids - 2026-05-02 - Research Publication - A physical Booster T1 pushes objects up to 17 kilograms with over 80% reported trial success. - source: arxiv.org
FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control - 2026-04-06 - Research Publication - FlashSAC scales off-policy reinforcement learning with larger networks, high-throughput data and bounded optimization norms. It benchmarks diverse simulation tasks and transfers blind locomotion policies to a physical… - source: arxiv.org
AGILE: A Comprehensive Workflow for Humanoid Loco-Manipulation Learning - 2026-03-20 - Research Publication - Recent advances in reinforcement learning (RL) have enabled impressive humanoid behaviors in simulation, yet transferring these results to new robots remains challenging. - source: arxiv.org
REFINE-DP presents RL fine-tuning method for data-efficient humanoid loco-manipulation - 2026-03-18 - Research Publication - REFINE-DP jointly fine-tunes Diffusion Policy planner and RL whole-body controller for humanoid loco-manipulation, validated on Booster T1 with 90%+ success. - source: refine-dp.github.io
HybridMimic: Hybrid RL-Centroidal Control for Humanoid Motion Mimicking - 2026-03-06 - Research Publication - Motion mimicking, i. e. - source: arxiv.org
Embodiment-Aware Generalist Specialist Distillation for Unified Humanoid Whole-Body Control - 2026-02-03 - Research Publication - Humanoid Whole-Body Controllers trained with reinforcement learning (RL) have recently achieved remarkable performance, yet many target a single robot embodiment. - source: arxiv.org
Learning Sim-to-Real Humanoid Locomotion in 15 Minutes - 2025-12-01 - Research Publication - Massively parallel simulation has reduced reinforcement learning (RL) training time for robots from days to minutes. - source: arxiv.org
AutoOdom evaluates autoregressive proprioceptive odometry on Booster T1 - 2025-11-24 - Research Publication - Accurate proprioceptive odometry is fundamental for legged robot navigation in GPS-denied and visually degraded environments where conventional visual odometry systems fail. - source: arxiv.org
PACE: Physics Augmentation for Coordinated End-to-end Reinforcement Learning toward Versatile Humanoid Table Tennis - 2025-09-25 - Research Publication - Humanoid table tennis (TT) demands rapid perception, proactive whole-body motion, and agile footwork under strict timing--capabilities that remain difficult for end-to-end control policies. - source: arxiv.org
SEEC: Stable End-Effector Control with Model-Enhanced Residual Learning for Humanoid Loco-Manipulation - 2025-09-25 - Research Publication - This model covers SEEC: Stable End-Effector Control with Model-Enhanced Residual Learning for Humanoid Loco-Manipulation for Booster T1 in dexterity. - source: arxiv.org
Booster Gym: An End-to-End Reinforcement Learning Framework for Humanoid Robot Locomotion - 2025-06-18 - Research Publication - Booster Gym releases an end-to-end reinforcement-learning framework spanning humanoid policy training, cross-simulator checks and physical deployment. The coauthored study validates locomotion transfer to Booster T1, and… - source: arxiv.org
fan-ziqi/robot_lab - 2024-07-06 - Research Publication - The source registers exact model-specific Isaac Lab environments for tracked quadruped, wheeled-quadruped and humanoid platforms. - source: github.com
Booster RoboCup software stack - Research Publication - Booster’s RoboCup release combines object detection, match decision-making and GameController integration for K1 and T1. The ROS2 stack includes behavior trees, vision configuration and hardware/simulator run scripts. - source: github.com