47 citations · 61 across the 5 of their papers we have counts for
3 papers · 1 filter
An Empirical Evaluation of Various Information Gain Criteria for Active Tactile Action Selection for Pose Estimation
Prajval Kumar Murali, Ravinder Dahiya, Mohsen Kaboli
Accurate object pose estimation using multi-modal perception such as visual and tactile sensing have been used for autonomous robotic manipulators in literature. Due to variation i…
Towards Robust 3D Object Recognition with Dense-to-Sparse Deep Domain Adaptation
Prajval Kumar Murali, Cong Wang, Ravinder Dahiya +1
Three-dimensional (3D) object recognition is crucial for intelligent autonomous agents such as autonomous vehicles and robots alike to operate effectively in unstructured environme…
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…