HiBerNAC: Hierarchical Brain-inspired Robotic Neural Agent Collective for Disentangling Complex Manipulation
cs.RO
Submitted: 2025-06-09
Updated: 2026-09-18
Project page: https://hibernac.github.io
Terminology
Sources
- Large Language Models for Robotics: A Survey
- MM-LLMs: Recent Advances in MultiModal Large Language Models
- Imitation Learning from Observation with Automatic Discount Scheduling
- Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
- Multi-Agent Collaboration Mechanisms: A Survey of LLMs
- Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning
- Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies
- Bresa: Bio-inspired Reflexive Safe Reinforcement Learning for Contact-Rich Robotic Tasks
- Inner Monologue: Embodied Reasoning through Planning with Language Models
- SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning
- Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion
- Skill Induction and Planning with Latent Language
- TwoStep: Multi-agent Task Planning using Classical Planners and Large Language Models
- Building Cooperative Embodied Agents Modularly with Large Language Models
- OpenVLA: An Open-Source Vision-Language-Action Model
- Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
- A Dual Process VLA: Efficient Robotic Manipulation Leveraging VLM
- Octo: An Open-Source Generalist Robot Policy
- RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
- Interleave-VLA: Enhancing Robot Manipulation with Interleaved Image-Text Instructions
Related papers
- FMT x: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
- MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
- RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies
- Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving