most citedA Robust and Scalable Attention Guided Deep Learning Framework for Movement Quality Assessment

5 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

physics.app-ph2026

Mobile Robot Localization Using a Novel Whisker-Like Sensor

Prasanna K. Routray, Basak Sakcak, Steven M. LaValle +1

Whisker-like touch sensors offer unique advantages for short-range perception in environments where visual and long-range sensing are unreliable, such as confined, cluttered, or lo…

cs.CV2022★ 3 cited

Cross-Domain Synthetic-to-Real In-the-Wild Depth and Normal Estimation for 3D Scene Understanding

Jay Bhanushali, Manivannan Muniyandi, Praneeth Chakravarthula

We present a cross-domain inference technique that learns from synthetic data to estimate depth and normals for in-the-wild omnidirectional 3D scenes encountered in real-world unco…

cs.CV2022

VisTaNet: Attention Guided Deep Fusion for Surface Roughness Classification

Prasanna Kumar Routray, Aditya Sanjiv Kanade, Jay Bhanushali +1

Human texture perception is a weighted average of multi-sensory inputs: visual and tactile. While the visual sensing mechanism extracts global features, the tactile mechanism compl…

eess.SP2022★ 2 cited

Towards Multidimensional Textural Perception and Classification Through Whisker

Prasanna Kumar Routray, Aditya Sanjiv Kanade, Pauline Pounds +1

Texture-based studies and designs have been in focus recently. Whisker-based multidimensional surface texture data is missing in the literature. This data is critical for robotics…

cs.CV2022★ 5 cited

A Robust and Scalable Attention Guided Deep Learning Framework for Movement Quality Assessment

Aditya Kanade, Mansi Sharma, Manivannan Muniyandi

Physical rehabilitation programs frequently begin with a brief stay in the hospital and continue with home-based rehabilitation. Lack of feedback on exercise correctness is a signi…