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. The authors apply this framework to a simulated… - source: arxiv.org
VOFA demonstrates force-adaptive visual object pushing on Booster T1 - 2026-05-02 - Research Publication - VOFA presents a visual goal-conditioned humanoid loco-manipulation system for pushing objects with unknown physical properties to target positions. The authors evaluate VOFA in simulation and real-world experiments on… - source: arxiv.org
AGILE: A Comprehensive Workflow for Humanoid Loco-Manipulation Learning - 2026-03-20 - Research Publication - The paper “AGILE: A Comprehensive Workflow for Humanoid Loco-Manipulation Learning” was published on March 20, 2026. The arXiv paper presents a humanoid loco-manipulation workflow evaluated with Booster T1. The study’s… - 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 a Diffusion Policy planner and an RL-based whole-body controller to reduce distribution mismatch between high-level planning and low-level execution. The method reports over 90 percent task… - source: refine-dp.github.io
HybridMimic: Hybrid RL-Centroidal Control for Humanoid Motion Mimicking - 2026-03-06 - Research Publication - The arXiv paper studies hybrid reinforcement-learning and centroidal control for motion mimicking on Booster T1. The study’s named evaluation platform is Booster T1 from Booster Robotics. - source: arxiv.org
Learning Sim-to-Real Humanoid Locomotion in 15 Minutes - 2025-12-01 - Research Publication - The paper “Learning Sim-to-Real Humanoid Locomotion in 15 Minutes” was published on December 1, 2025. The arXiv paper trains sim-to-real humanoid locomotion on Booster T1. The study’s named evaluation platform is Booster… - source: arxiv.org
AutoOdom evaluates autoregressive proprioceptive odometry on Booster T1 - 2025-11-24 - Research Publication - AutoOdom introduces an autoregressive proprioceptive odometry system for legged locomotion in visually degraded or GPS-denied environments. The paper validates the method on Booster T1 and reports large improvements over… - source: arxiv.org
SEEC: Stable End-Effector Control with Model-Enhanced Residual Learning for Humanoid Loco-Manipulation - 2025-09-25 - Research Publication - The arXiv paper studies stable end-effector control for humanoid loco-manipulation on Booster T1. The study’s named evaluation platform is Booster T1 from Booster Robotics. - source: arxiv.org
PACE: Physics Augmentation for Coordinated End-to-end Reinforcement Learning toward Versatile Humanoid Table Tennis - 2025-09-25 - Research Publication - The arXiv paper studies coordinated reinforcement learning for humanoid table tennis on Booster T1. The study’s named evaluation platform is Booster T1 from Booster Robotics. - source: arxiv.org
Booster Gym validates end-to-end humanoid locomotion RL on Booster T1 - 2025-06-18 - Research Publication - The Booster Gym paper presents an end-to-end reinforcement-learning framework covering humanoid locomotion training, simulation, domain randomization, and deployment. The authors validate the framework on the Booster T1… - source: arxiv.org
fan-ziqi/robot_lab - 2024-07-06 - Research Publication - robot_lab is an Apache-2.0 reinforcement-learning extension built on NVIDIA Isaac Lab. Its README registers exact model-specific simulation environments across quadruped, wheeled-quadruped and humanoid platforms, including… - source: github.com