activity
20182025
most citedVFAS-Grasp: Closed Loop Grasping with Visual Feedback and Adaptive Sampling

1 citations · 1 across the 7 of their papers we have counts for

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cs.RO2025

SpikeATac: A Multimodal Tactile Finger with Taxelized Dynamic Sensing for Dexterous Manipulation

Eric T. Chang, Peter Ballentine, Zhanpeng He +8

In this work, we introduce SpikeATac, a multimodal tactile finger combining a taxelized and highly sensitive dynamic response (PVDF) with a static transduction method (capacitive)…

cs.RO2025

MiniBEE: A New Form Factor for Compact Bimanual Dexterity

Sharfin Islam, Zewen Chen, Zhanpeng He +8

Bimanual robot manipulators can achieve impressive dexterity, but typically rely on two full six- or seven- degree-of-freedom arms so that paired grippers can coordinate effectivel…

cs.RO2024

Compact LED-Based Displacement Sensing for Robot Fingers

Amr El-Azizi, Sharfin Islam, Pedro Piacenza +3

In this paper, we introduce a sensor designed for integration in robot fingers, where it can provide information on the displacements induced by external contact. Our sensor uses L…

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★ 1 cited

VFAS-Grasp: Closed Loop Grasping with Visual Feedback and Adaptive Sampling

Pedro Piacenza, Jiacheng Yuan, Jinwook Huh +1

We consider the problem of closed-loop robotic grasping and present a novel planner which uses Visual Feedback and an uncertainty-aware Adaptive Sampling strategy (VFAS) to close t…

cs.RO2023

RAMP: Hierarchical Reactive Motion Planning for Manipulation Tasks Using Implicit Signed Distance Functions

Vasileios Vasilopoulos, Suveer Garg, Pedro Piacenza +2

We introduce Reactive Action and Motion Planner (RAMP), which combines the strengths of sampling-based and reactive approaches for motion planning. In essence, RAMP is a hierarchic…