activity
20242026
collaborators

5 papers

cs.RO2026

Cross-Modal Visuo-Tactile Object Perception

Anirvan Dutta, Simone Tasciotti, Claudia Cusseddu +6

Estimating physical properties is critical for safe and efficient autonomous robotic manipulation, particularly during contact-rich interactions. In such settings, vision and tacti…

cs.RO2026

Adaptive Manipulation Potential and Haptic Estimation for Tool-Mediated Interaction

Lin Yang, Anirvan Dutta, Yuan Ji +5

Achieving human-level dexterity in contact-rich, tool-mediated manipulation remains a significant challenge due to visual occlusion and the underdetermined nature of haptic sensing…

cs.RO2025

Embodied Tactile Perception of Soft Objects Properties

Anirvan Dutta, Alexis WM Devillard, Zhihuan Zhang +2

To enable robots to develop human-like fine manipulation, it is essential to understand how mechanical compliance, multi-modal sensing, and purposeful interaction jointly shape tac…

eess.SP2025

Edge Training and Inference with Analog ReRAM Technology for Hand Gesture Recognition

Victoria Clerico, Anirvan Dutta, Donato Francesco Falcone +8

Tactile hand gesture recognition is a crucial task for user control in the automotive sector, where Human-Machine Interactions (HMI) demand low latency and high energy efficiency.…

cs.RO2024

Predictive Visuo-Tactile Interactive Perception Framework for Object Properties Inference

Anirvan Dutta, Etienne Burdet, Mohsen Kaboli

Interactive exploration of the unknown physical properties of objects such as stiffness, mass, center of mass, friction coefficient, and shape is crucial for autonomous robotic sys…