TRACE: Trajectory-Routed Causal Memory for Delayed-Evidence Visuomotor Imitation
cs.RO, cs.AI
Submitted: 2026-06-12
Updated: 2026-08-31
Project page: https://jeong-zju.github.io/trace
Terminology
Sources
- Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
- RT-1: Robotics Transformer for Real-World Control at Scale
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
- X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL Problems
- MAP-VLA: Memory-Augmented Prompting for Vision-Language-Action Model in Robotic Manipulation
- EchoVLA: Robotic Vision-Language-Action Model with Synergistic Declarative Memory for Mobile Manipulation
- Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU
- Bi-HIL: Bilateral Control-Based Multimodal Hierarchical Imitation Learning via Subtask-Level Progress Rate and Keyframe Memory for Long-Horizon Contact-Rich Robotic Manipulation
- TriPilot-FF: Coordinated Whole-Body Teleoperation with Force Feedback
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