26 citations · 59 across the 12 of their papers we have counts for
14 papers
EV-Catcher: High-Speed Object Catching Using Low-latency Event-based Neural Networks
Ziyun Wang, Fernando Cladera Ojeda, Anthony Bisulco +6
Event-based sensors have recently drawn increasing interest in robotic perception due to their lower latency, higher dynamic range, and lower bandwidth requirements compared to sta…
Simultaneous Object Reconstruction and Grasp Prediction using a Camera-centric Object Shell Representation
Nikhil Chavan-Dafle, Sergiy Popovych, Shubham Agrawal +2
Being able to grasp objects is a fundamental component of most robotic manipulation systems. In this paper, we present a new approach to simultaneously reconstruct a mesh and a den…
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.…
Fast Motion Understanding with Spatiotemporal Neural Networks and Dynamic Vision Sensors
Anthony Bisulco, Fernando Cladera Ojeda, Volkan Isler +1
This paper presents a Dynamic Vision Sensor (DVS) based system for reasoning about high speed motion. As a representative scenario, we consider the case of a robot at rest reacting…
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…
Geodesic-HOF: 3D Reconstruction Without Cutting Corners
Ziyun Wang, Eric A. Mitchell, Volkan Isler +1
Single-view 3D object reconstruction is a challenging fundamental problem in computer vision, largely due to the morphological diversity of objects in the natural world. In particu…