54 citations · 91 across the 17 of their papers we have counts for
6 papers · 2 filters
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…
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…
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…
HERB: Human-augmented Efficient Reinforcement learning for Bin-packing
Gojko Perovic, Nuno Ferreira Duarte, Atabak Dehban +3
Packing objects efficiently is a fundamental problem in logistics, warehouse automation, and robotics. When dealing with highly diverse 3D objects (household or grocery items), clo…
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…
SoFFT: Spatial Fourier Transform for Modeling Continuum Soft Robots
Daniele Caradonna, Diego Bianchi, Franco Angelini +1
Continuum soft robots, composed of flexible materials, exhibit theoretically infinite degrees of freedom, enabling notable adaptability in unstructured environments. Cosserat Rod T…