

December 2025 performance summary for OpenHUTB/nn. Delivered an end-to-end Biomechanical Simulation Platform for box/arm with perception and proprioception, enabling robust testing of dual-arm coordination, fatigue modeling, and perception-driven control. Launched a Reinforcement Learning (RL) training workflow and a gym-compatible RL-Simulator that integrates biomechanical, task, and perception models, accelerating RL experimentation and evaluation. Expanded model realism and modularity by adding the MoBL ARMS upper-limb model and a dedicated perception module package, plus visualization aids (simple 3D skeleton and video tooling). Improved repository health and collaboration through cache/gitignore hygiene, YAML config refinements, and documentation updates to support repeatable experiments and onboarding. These efforts collectively increase hardware-agnostic validation, reduce cycle time for experiments, and strengthen the team’s ability to deliver scalable, data-driven biomechanics research solutions.
December 2025 performance summary for OpenHUTB/nn. Delivered an end-to-end Biomechanical Simulation Platform for box/arm with perception and proprioception, enabling robust testing of dual-arm coordination, fatigue modeling, and perception-driven control. Launched a Reinforcement Learning (RL) training workflow and a gym-compatible RL-Simulator that integrates biomechanical, task, and perception models, accelerating RL experimentation and evaluation. Expanded model realism and modularity by adding the MoBL ARMS upper-limb model and a dedicated perception module package, plus visualization aids (simple 3D skeleton and video tooling). Improved repository health and collaboration through cache/gitignore hygiene, YAML config refinements, and documentation updates to support repeatable experiments and onboarding. These efforts collectively increase hardware-agnostic validation, reduce cycle time for experiments, and strengthen the team’s ability to deliver scalable, data-driven biomechanics research solutions.
2025-10 Monthly Summary for OpenHUTB/nn: Delivered a new User-in-the-Box Simulator for Biomechanical Task and Perception Modeling. The simulator unifies biomechanical dynamics, task specifications, and perception models into a gym-compatible environment, enabling end-to-end experimentation with embodied agents and reproducible benchmarks. Implemented as a single commit with traceable changes, establishing a foundation for accelerated validation and RL research workflows.
2025-10 Monthly Summary for OpenHUTB/nn: Delivered a new User-in-the-Box Simulator for Biomechanical Task and Perception Modeling. The simulator unifies biomechanical dynamics, task specifications, and perception models into a gym-compatible environment, enabling end-to-end experimentation with embodied agents and reproducible benchmarks. Implemented as a single commit with traceable changes, establishing a foundation for accelerated validation and RL research workflows.
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