149 citations · 591 across the 39 of their papers we have counts for
6 papers · 1 filter
Gradient Backpropagation based Feature Attribution to Enable Explainable-AI on the Edge
Ashwin Bhat, Adou Sangbone Assoa, Arijit Raychowdhury
There has been a recent surge in the field of Explainable AI (XAI) which tackles the problem of providing insights into the behavior of black-box machine learning models. Within th…
Fusing Frame and Event Vision for High-speed Optical Flow for Edge Application
Ashwin Sanjay Lele, Arijit Raychowdhury
Optical flow computation with frame-based cameras provides high accuracy but the speed is limited either by the model size of the algorithm or by the frame rate of the camera. This…
Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities
Zishen Wan, Ashwin Lele, Bo Yu +5
Robotic computing has reached a tipping point, with a myriad of robots (e.g., drones, self-driving cars, logistic robots) being widely applied in diverse scenarios. The continuous…
FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems
Zishen Wan, Aqeel Anwar, Abdulrahman Mahmoud +4
Swarm intelligence is being increasingly deployed in autonomous systems, such as drones and unmanned vehicles. Federated reinforcement learning (FRL), a key swarm intelligence para…
Circuit and System Technologies for Energy-Efficient Edge Robotics
Zishen Wan, Ashwin Sanjay Lele, Arijit Raychowdhury
As we march towards the age of ubiquitous intelligence, we note that AI and intelligence are progressively moving from the cloud to the edge. The success of Edge-AI is pivoted on i…
An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems
Qiang Liu, Zishen Wan, Bo Yu +3
Simultaneous Localization and Mapping (SLAM) estimates agents' trajectories and constructs maps, and localization is a fundamental kernel in autonomous machines at all computing sc…