most citedSensorimotor Control Strategies for Tactile Robotics

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

cs.RO2026

An Event-Based Opto-Tactile Skin

Mohammadreza Koolani, Simeon Bamford, Petr Trunin +5

This paper presents a neuromorphic, event-driven tactile sensing system for soft, large-area skin, based on the Dynamic Vision Sensors (DVS) integrated with a flexible silicone opt…

cs.RO2025

Magnetic Tactile-Driven Soft Actuator for Intelligent Grasping and Firmness Evaluation

Chengjin Du, Federico Bernabei, Zhengyin Du +3

Soft robots are powerful tools for manipulating delicate objects, yet their adoption is hindered by two gaps: the lack of integrated tactile sensing and sensor signal distortion ca…

cs.RO2025

Monolithic Units: Actuation, Sensing, and Simulation for Integrated Soft Robot Design

Trevor Exley, Anderson Brazil Nardin, Petr Trunin +2

This work introduces the Monolithic Unit (MU), an actuator-lattice-sensor building block for soft robotics. The MU integrates pneumatic actuation, a compliant lattice envelope, and…

cs.RO2025

MELEGROS: Monolithic Elephant-inspired Gripper with Optical Sensors

Petr Trunin, Diana Cafiso, Anderson Brazil Nardin +2

The elephant trunk exemplifies a natural gripper where structure, actuation, and sensing are seamlessly integrated. Inspired by the distal morphology of the African elephant trunk,…

cs.RO20251 cited

Sensorimotor Control Strategies for Tactile Robotics

Enrico Donato, Matteo Lo Preti, Lucia Beccai +1

How are robots becoming smarter at interacting with their surroundings? Recent advances have reshaped how robots use tactile sensing to perceive and engage with the world. Tactile…

cs.RO2025

Neural Cellular Automata for Decentralized Sensing using a Soft Inductive Sensor Array for Distributed Manipulator Systems

Bailey Dacre, Nicolas Bessone, Matteo Lo Preti +4

In Distributed Manipulator Systems (DMS), decentralization is a highly desirable property as it promotes robustness and facilitates scalability by distributing computational burden…