4 accepted papers
In robotic operation, asymmetric tasks requiring dual-arm cooperation are the highly challenging research direction. Autonomous operation generally has a low success rate or poor generalization because of its excessive dependence on the accuracy of sub-goals from asymmetric tasks. Although teleopera
The ability to fast climb and descend is crucial for Unmanned Aerial Vehicle (UAV) applications in the mountains. The slower descent speed will affect the UAV’s working efficiency in reaching the rescue area. However, during the fast descent of the rotorcraft, a chaotic flow field rampages as the ro…
Grasping a target object in the cluttered environment is challenging due to potential collisions. Taking pre-grasp manipulations such as pushing, sliding and poking is an effective way to singulate the target. However, the success rate is heavily affected by the dimension disaster derived from compl
Adversarial Inverse Reinforcement Learning (AIRL) has gained popularity as an alternative to supervised imitation learning, addressing the distributional bias issue of the latter. However, it still faces significant challenges in long-horizon tasks due to the lack of effective exploration. In our le