Single-Motor Grippers in Confined Spaces: Research focuses on a robotic gripper with a single motor, optimized for picking up objects in constrained environments. Three modes—grasping, finger-bending, and pull-in—enable in-hand manipulation.

High-Speed Industrial Grippers: A novel industrial gripper is introduced with high grasping speed and tip force. It's designed for quick, stable grasping and assembly, featuring a self-centering function and a lightweight build.

Parallel Optimization in Robot Motion: The paper presents a parallel optimization technique for collision-free motion in robotic manipulators. It leverages massively parallel GPUs to solve complex motion generation problems at speeds 60x faster than existing methods.

Multi-Modal Motion Forecasting in Autonomous Driving: This study focuses on forecasting vehicular motions in autonomous driving scenarios. It employs an equivariant particle model and a multi-modal prediction mechanism to improve prediction accuracy and training efficiency.

In-Flight Inductive Power Transfer for Drones: The research proposes an attitude estimation method based on motor current to enable in-flight charging of drones. The method aims for high accuracy in altitude and pitch angle estimation, optimizing power transfer efficiency.