We introduced GaussianGrasper, a robot grasping system implemented by a 3D Gaussian field endowed with open-vocabulary semantics and accurate geometry that is capable of rapid updates to support open-world robotic grasping guided by language.
I implemented reinforcement learning (PPO) algorithm using the rsl_rl library and Isaac Gym to train locomotion policy, and use Mujoco Simulation to test the policy
The industrial compound mobile robot, enhanced by the capabilities of the Antelope Industrial Large Model in understanding computations, generating industrial code, and processing industrial text, can perform task comprehension, decomposition, instruction generation, and other operations through applications such as industrial task splitting, path code planning, and industrial object detection and image segmentation within a natural language interaction model. This further enhances the efficiency and effectiveness of industrial robots.
Baidu Apollo V2X Vehicle-Road Cooperative Technology Model Construction and Validation
Contribution & Results: we developed a safety model based on two scenarios: ring road conflicts and unprotected left turns, and evaluated the safety performances in both individual vehicle intelligence and V2X scenarios. The results indicate that V2X improved safety metrics by 30% to 90%.
Result: In collaboration with Baidu, contributed to the release of the first Chinese white paper on vehicle-road cooperative technology: Key technologies and prospects of vehicle-road collaboration for autonomous driving.
Awards
City Special Prize, "Unbounded·2023 Shanghai International Student (Nationalized University Students) Innovation and Entrepreneurship Competition"
City Top 10, Best Popularity Award, Second and Third Prizes, 2020、2022 China-U.S. Maker Competition (Shanghai Regional)
Third Prize, 2021 Cross-Strait Maker Competition National Finals
City Second and Third Prizes, 2019、2022 Shanghai College Student Maker Competition
First Prize (National Level), 2017 International Youth Innovation Design Competition China Region