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Pedro Piacenza

9 accepted papers

2026

MiniBEE: A New Form Factor for Compact Bimanual Dexterity

ICRA 2026poster

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 effectively. This traditional framework increases system complexity and footprint while only exploiting a fraction of the overall w…

2026

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

ICRA 2026poster

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) for multimodal touch sensing. Named for its `spiky' response, SpikeATac's 16-taxel PVDF film sampled at 4 kHz provides f…

2025

Compact LED-Based Displacement Sensing for Robot Fingers

IROS 2025

In this paper, we introduce a sensor designed for robotic fingers which can provide information on the displacements induced by external forces. Our sensor uses LEDs to sense the displacement between two plates connected by a transparent elastomer; when a force is applied to the finger, the elastome

Cited by 3SourceScholar
2024

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

ICRA 2024poster

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 the loop. At each iteration, our method VFAS-Grasp builds a set of candidate grasps by generating random perturbations of…

Cited by 3SourceScholar
2023

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

IROS 2023poster

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 hierarchical approach where a novel variant of a Model Predictive Path Integral (MPPI) controller is used to generate trajectories…

Cited by 12SourcecodeScholar
2022

Pouring by Feel: An Analysis of Tactile and Proprioceptive Sensing for Accurate Pouring

ICRA 2022poster

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 pouring an exact amount of water without any environmental instrumentation, that is, using only the robot's own sensors to p…

Cited by 12SourceScholar
2017

Accurate contact localization and indentation depth prediction with an optics-based tactile sensor

ICRA 2017poster

Traditional methods to achieve high localization accuracy with tactile sensors usually use a matrix of miniaturized individual sensors distributed on the area of interest. This approach usually comes at a price of increased complexity in fabrication and circuitry, and can be hard to adapt for non pl…

Cited by 20SourceScholar
2016

Contact localization through spatially overlapping piezoresistive signals

IROS 2016poster

Achieving high spatial resolution in contact sensing for robotic manipulation often comes at the price of increased complexity in fabrication and integration. One traditional approach is to fabricate a large number of taxels, each delivering an individual, isolated response to a stimulus. In contras…

Cited by 12SourceScholar