activity
20192026
most citedA bistable soft gripper with mechanically embedded sensing and actuation for fast closed-loop grasping

54 citations · 91 across the 17 of their papers we have counts for

collaborators

19 papers

cs.RO2026

Continuous and large-scale: ELEANOR, the soft architected arm inspired by the elephant trunk

Giovanna A. Naselli, Anderson B. Nardin, Seonggun Joe +6

The elephant trunk is a dexterous and versatile manipulator whose performance is still unmatched in robotics. In previous works, modularity was prioritized and relatively small-sca…

cs.RO2026

A Continual Learning Framework for Adaptive Control of Modular Soft Robots

Nilay Kushawaha, Muhammad Sunny Nazeer, Baljinder Singh Bal +2

Soft robots have attracted significant attention in applications such as medical intervention, rehabilitation, and robotic manipulation due to their inherent compliance, flexibilit…

cs.RO2026

Soft Swing-up: Benchmarking Model-Based Optimal Control for Rigid-Soft Underactuated Systems

Daniele Caradonna, Nikhil Nair, Anup Teejo Mathew +5

Continuum soft robots are inherently underactuated and subject to intrinsic input constraints, making dynamic control particularly challenging, especially in hybrid rigid-soft robo…

cs.RO2025

Zero-shot Whole-Body Manipulation with a Large-Scale Soft Robotic Torso via Guided Reinforcement Learning

Curtis C. Johnson, Carlo Alessi, Egidio Falotico +1

Whole-body manipulation is a powerful yet underexplored approach that enables robots to interact with large, heavy, or awkward objects using more than just their end-effectors. Sof…

cs.RO2025

The Role of Touch: Towards Optimal Tactile Sensing Distribution in Anthropomorphic Hands for Dexterous In-Hand Manipulation

João Damião Almeida, Egidio Falotico, Cecilia Laschi +1

In-hand manipulation tasks, particularly in human-inspired robotic systems, must rely on distributed tactile sensing to achieve precise control across a wide variety of tasks. Howe…

cs.RO2025

Domain Translation of a Soft Robotic Arm using Conditional Cycle Generative Adversarial Network

Nilay Kushawaha, Carlo Alessi, Lorenzo Fruzzetti +1

Deep learning provides a powerful method for modeling the dynamics of soft robots, offering advantages over traditional analytical approaches that require precise knowledge of the…