5 papers
MIND-CAVs: Multi-Intelligence Negotiation and Decision System for CAVs based on Intent-Driven Autonomy
Mainak Mondal, Yihang Feng, Yangchao Luo +1
Modern autonomous vehicles largely operate as isolated agents: they rely on on-board perception and decision modules and broadcast Basic Safety Messages (BSMs) that expose only low…
Quantum siphoning of finely spaced interlayer excitons in reconstructed MoSe2/WSe2 heterostructures
Mainak Mondal, Kenji Watanabe, Takashi Taniguchi +2
Atomic reconstruction in twisted transition metal dichalcogenide heterostructures leads to mesoscopic domains with uniform atomic registry, profoundly altering the local potential…
Robust and Safe Multi-Agent Reinforcement Learning with Communication for Autonomous Vehicles: From Simulation to Hardware
Keshawn Smith, Zhili Zhang, H M Sabbir Ahmad +5
Deep multi-agent reinforcement learning (MARL) has been demonstrated effectively in simulations for multi-robot problems. For autonomous vehicles, the development of vehicle-to-veh…
Optical control of multiple resistance levels in graphene for memristic applications
Harsimran Kaur Mann, Mainak Mondal, Vivek Sah +4
Neuromorphic computing has emphasized the need for memristors with non-volatile, multiple conductance levels. This paper demonstrates the potential of hexagonal boron nitride (hBN)…
Quantification of 2D Interfaces: Quality of heterostructures, and what is inside a nanobubble
Mainak Mondal, Pawni Manchanda, Soumadeep Saha +2
Trapped materials at the interfaces of two-dimensional heterostructures (HS) lead to reduced coupling between the layers, resulting in degraded optoelectronic performance and devic…