139 citations · 277 across the 9 of their papers we have counts for
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cs.RO2023
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…
cs.RO2023★ 26 cited
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…