47 citations · 47 across the 4 of their papers we have counts for
4 papers
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…
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,…
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…
Active Visuo-Tactile Point Cloud Registration for Accurate Pose Estimation of Objects in an Unknown Workspace
Prajval Kumar Murali, Michael Gentner, Mohsen Kaboli
This paper proposes a novel active visuo-tactile based methodology wherein the accurate estimation of the time-invariant SE(3) pose of objects is considered for autonomous robotic…