6 accepted papers
MLLM-powered embodied agents deployed in real-world environments encounter physical hazards. However, existing approaches lack explicit mechanisms for identifying hazards and reasoning about action-conditioned risks, leading agents to either miss risky interactions or over-identify risks. To address…
The under-actuated tendon-driven mechanism enables the development of light and compact hand-wearable robots by allowing the robots to assist in adaptive motions. However, tendon friction and elongation accumulate as the tendon passes through many joints, causing hysteresis and detrimental effects o
Astract-Recent advances in foundation models are significantly expanding the capabilities of AI models. As part of this progress, this paper introduces a robot design framework that uses a diffusion model approach for generating 3D mesh structures. Specifically, we focus on generating directly fabri
The natural flexibility of soft robotic grippers allows for versatile and compliant grasping. However, this same flexibility can restrict the gripper’s strength. Striking a balance between compliance and strength is essential for effective soft grippers. In this work, we present Flexible Robust Obse…
Nature evolves creatures with a high complexity of morphological and behavioral intelligence, meanwhile computational methods lag in approaching that diversity and efficacy. Co-optimization of artificial creatures' morphology and control in silico shows promise for applications in physical soft rob…
We present a novel design for a multi-fingered robotic gripper, featuring underactuation and fiber-optically sensorized tendons for force sensing, inspired by the Golgi tendon organs found in biological muscles. Our robotic gripper comprises three rigid fingers, each with three joints: the metacarpo