>
Breaking Lock-In: Preserving Steerability under Low-Data VLA Post-Training
Mitigating lock-in in low-data VLA post-training by preserving visual grounding and using test-time contrastive prompt guidance to improve instruction steerability.
LEGS: Fine-Tuning Teleop-Free VLAs for Humanoid Loco-manipulation in an Embodied Gaussian Splatting World
LEGS composites the robot and objects over a photorealistic 3D Gaussian Splatting background inside MuJoCo, and procedurally generates labeled demonstrations — no teleoperation, no seed demos, no human video.
Ego-Pi: VLA Fine-Tuning for Ego-Centric Human and Robot Data
Fine-tuning vision-language-action (VLA) models for dexterous humanoid manipulation using aligned egocentric human demonstrations and robot data.
GRaD-Nav-Onboard: Vision-Based Drone Navigation
Vision-only onboard navigation for drones in dynamic environments, integrating efficient perception, velocity estimation, and safety-aware autonomy on embedded platforms.
Bionic lightweight design of limb leg units for hydraulic quadruped robots by additive manufacturing and topology optimization
We design a bionic lightweight limb leg unit for hydraulic quadruped using topology optimization and additive manufacturing, reduced weight and improved performance.