Mapping animal-robot interaction with high-sentience beings through expansive multi-modal perception for identifying associative cues to achieve bi-directional interaction.

Sim-to-Real transfer of adaptive locomotion of legged robots using neuromorphic control strategies.

Overcoming lack of global references in tracking and localization through spatio-temporal monitoring with in-situ trackers.

The aerial tail is a versatile mechanism designed to enable complex movements and behaviors, significantly enhancing robotic mobility. It facilitates advanced maneuvers such as aerial reorientation, controlled sliding on slippery surfaces, and climbing steeper inclines. Furthermore, the tail optimizes fundamental locomotion, providing greater stability and agility during jumping, walking, and turning.

Description coming soon.

This uncertainty-aware Vision-Language-Action (VLA) framework is designed for mobile manipulation in dynamic, partially observable environments. By incorporating uncertainty estimation directly into perception and reasoning, it enables robust and reliable task execution in real-world, unstructured settings.

Utilizing living organisms to sense the environment, establishing the first system capable of prolonged scanning while simultaneously maintaining optimal conditions for the organism. By decoding spatial information directly from biological readouts, it enables a unique and sustained approach to environmental monitoring.

This innovative system consists of individually addressable and actuated cells on a wrappable sheet, capable of precisely modulating stiffness. It allows for the creation of virtual joints and the dynamic shifting of stress locations, while also offering self-repair capabilities and damage isolation for enhanced durability.

Individually actuated feet that precisely modulate contact force, enabling the robot to effectively traverse challenging terrains such as mud, sand, and water. Additionally, by manipulating gait patterns, the robot gains the ability to ascend high inclines with stability.