activity
20222026
most citedActive Visuo-Tactile Interactive Robotic Perception for Accurate Object Pose Estimation in Dense Clutter

47 citations · 48 across the 9 of their papers we have counts for

collaborators

10 papers

cs.RO2026

Physics Residual Dynamics and Reduced Order Whole-Body Planning for Obstacle Aware Human Robot Cloth CoTransportation

Moein Forouhar, Kosar Behnia, Anirvan Dutta +5

Human--robot co-transportation of deformable objects requires predicting object deformation during motion, since obstacle clearance depends on both the grasp points and the unactua…

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…

cs.HC2024★ 1 cited

Advancements in Tactile Hand Gesture Recognition for Enhanced Human-Machine Interaction

Chiara Fumelli, Anirvan Dutta, Mohsen Kaboli

Motivated by the growing interest in enhancing intuitive physical Human-Machine Interaction (HRI/HVI), this study aims to propose a robust tactile hand gesture recognition system.…

cs.RO2024

Visuo-Tactile based Predictive Cross Modal Perception for Object Exploration in Robotics

Anirvan Dutta, Etienne Burdet, Mohsen Kaboli

Autonomously exploring the unknown physical properties of novel objects such as stiffness, mass, center of mass, friction coefficient, and shape is crucial for autonomous robotic s…

cs.RO2023

Push to know! -- Visuo-Tactile based Active Object Parameter Inference with Dual Differentiable Filtering

Anirvan Dutta, Etienne Burdet, Mohsen Kaboli

For robotic systems to interact with objects in dynamic environments, it is essential to perceive the physical properties of the objects such as shape, friction coefficient, mass,…

cs.RO2022★ 47 cited

Active Visuo-Tactile Interactive Robotic Perception for Accurate Object Pose Estimation in Dense Clutter

Prajval Kumar Murali, Anirvan Dutta, Michael Gentner +3

This work presents a novel active visuo-tactile based framework for robotic systems to accurately estimate pose of objects in dense cluttered environments. The scene representation…