4 papers
Autonomous Vehicle Collision Avoidance With Racing Parameterized Deep Reinforcement Learning
Shathushan Sivashangaran, Vihaan Dutta, Apoorva Khairnar +2
Road traffic accidents are a leading cause of fatalities worldwide. In the US, human error causes 94% of crashes, resulting in excess of 7,000 pedestrian fatalities and $500 billio…
Physics-Informed Reinforcement Learning of Spatial Density Velocity Potentials for Map-Free Racing
Shathushan Sivashangaran, Apoorva Khairnar, Sepideh Gohari +2
Autonomous racing without prebuilt maps is a grand challenge for embedded robotics that requires kinodynamic planning from instantaneous sensor data at the acceleration and tire fr…
OpenPRC: A Unified Open-Source Framework for Physics-to-Task Evaluation in Physical Reservoir Computing
Yogesh Phalak, Wen Sin Lor, Apoorva Khairnar +3
Physical Reservoir Computing (PRC) leverages the intrinsic nonlinear dynamics of physical substrates, mechanical, optical, spintronic, and beyond, as fixed computational reservoirs…
Spider web-inspired sensing and computation with fiber network physical reservoirs
Apoorva Khairnar, Yogesh Phalak, Jun Wang +4
Physical reservoir computing leverages the intrinsic dynamics of mechanical systems to perform computation through their natural responses to input signals. Here, we study a compli…