most citedIn-Sensor Motion Recognition with Memristive System and Light Sensing Surfaces

3 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2026

Surface-Constrained Offline Warping with Contact-Aware Online Pose Projection for Safe Robotic Trajectory Execution

Farong Wang, Sai Swaminathan, Fei Liu

Robotic manipulation tasks that require repeated tool motion along curved surfaces frequently arise in surface finishing, inspection, and guided interaction. In practice, nominal m…

eess.SP2025

Vibe2Spike: Batteryless Wireless Tags for Vibration Sensing with Event Cameras and Spiking Networks

Danny Scott, William LaForest, Hritom Das +5

The deployment of dense, low-cost sensors is critical for realizing ubiquitous smart environments. However, existing sensing solutions struggle with the energy, scalability, and re…

cs.HC20253 cited

In-Sensor Motion Recognition with Memristive System and Light Sensing Surfaces

Hritom Das, Imran Fahad, SNB Tushar +5

In this paper, we introduce a novel device architecture that merges memristive devices with light-sensing surfaces, for energy-efficient motion recognition at the edge. Our light-s…

cs.HC2025

RadioGami: Batteryless, Long-Range Wireless Paper Sensors Using Tunnel Diodes

Imran Fahad, Danny Scott, Azizul Zahid +5

Paper-based interactive RF devices have opened new possibilities for wireless sensing, yet they are typically constrained by short operational ranges. This paper introduces RadioGa…

cs.RO2025

PulseRide: A Robotic Wheelchair for Personalized Exertion Control with Human-in-the-Loop Reinforcement Learning

Azizul Zahid, Bibek Poudel, Danny Scott +4

Maintaining an active lifestyle is vital for quality of life, yet challenging for wheelchair users. For instance, powered wheelchairs face increasing risks of obesity and deconditi…

cs.RO2025

Toward Aligning Human and Robot Actions via Multi-Modal Demonstration Learning

Azizul Zahid, Jie Fan, Farong Wang +3

Understanding action correspondence between humans and robots is essential for evaluating alignment in decision-making, particularly in human-robot collaboration and imitation lear…