139 citations · 277 across the 9 of their papers we have counts for
9 papers
Pouring by Feel: An Analysis of Tactile and Proprioceptive Sensing for Accurate Pouring
Pedro Piacenza, Daewon Lee, Volkan Isler
As service robots begin to be deployed to assist humans, it is important for them to be able to perform a skill as ubiquitous as pouring. Specifically, we focus on the task of pour…
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…
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.…
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…
Geometric Adaptive Tracking Control of a Quadrotor UAV on SE(3) for Agile Maneuvers
Farhad A. Goodarzi, Daewon Lee, Taeyoung Lee
This paper presents nonlinear tracking control systems for a quadrotor unmanned aerial vehicle under the influence of uncertainties. Assuming that there exist unstructured disturba…