15 citations · 17 across the 7 of their papers we have counts for
5 papers · 1 filter
AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection
Xiaoran Fan, Riley Simmons-Edler, Daewon Lee +3
Perceiving obstacles and avoiding collisions is fundamental to the safe operation of a robot system, particularly when the robot must operate in highly dynamic human environments.…
Learning to Generate Cost-to-Go Functions for Efficient Motion Planning
Jinwook Huh, Galen Xing, Ziyun Wang +2
Traditional motion planning is computationally burdensome for practical robots, involving extensive collision checking and considerable iterative propagation of cost values. We pre…
Robotic Grasping through Combined Image-Based Grasp Proposal and 3D Reconstruction
Daniel Yang, Tarik Tosun, Ben Eisner +2
We present a novel approach to robotic grasp planning using both a learned grasp proposal network and a learned 3D shape reconstruction network. Our system generates 6-DOF grasps f…
Higher Order Function Networks for View Planning and Multi-View Reconstruction
Selim Engin, Eric Mitchell, Daewon Lee +2
We consider the problem of planning views for a robot to acquire images of an object for visual inspection and reconstruction. In contrast to offline methods which require a 3D mod…
Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner
Tarik Tosun, Eric Mitchell, Ben Eisner +6
We present a novel method enabling robots to quickly learn to manipulate objects by leveraging a motion planner to generate "expert" training trajectories from a small amount of hu…