17 citations · 26 across the 5 of their papers we have counts for
5 papers
PartManip: Learning Cross-Category Generalizable Part Manipulation Policy from Point Cloud Observations
Haoran Geng, Ziming Li, Yiran Geng +3
Learning a generalizable object manipulation policy is vital for an embodied agent to work in complex real-world scenes. Parts, as the shared components in different object categor…
DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation
Ruicheng Wang, Jialiang Zhang, Jiayi Chen +4
Robotic dexterous grasping is the first step to enable human-like dexterous object manipulation and thus a crucial robotic technology. However, dexterous grasping is much more unde…
Maneuver-Aware Pooling for Vehicle Trajectory Prediction
Mohamed Hasan, Albert Solernou, Evangelos Paschalidis +3
Autonomous vehicles should be able to predict the future states of its environment and respond appropriately. Specifically, predicting the behavior of surrounding human drivers is…
Maneuver-based Anchor Trajectory Hypotheses at Roundabouts
Mohamed Hasan, Evangelos Paschalidis, Albert Solernou +3
Predicting future behavior of the surrounding vehicles is crucial for self-driving platforms to safely navigate through other traffic. This is critical when making decisions like c…
Human-like Planning for Reaching in Cluttered Environments
Mohamed Hasan, Matthew Warburton, Wisdom C. Agboh +6
Humans, in comparison to robots, are remarkably adept at reaching for objects in cluttered environments. The best existing robot planners are based on random sampling of configurat…