63 citations · 102 across the 18 of their papers we have counts for
6 papers · 1 filter
A Model-free Deep Reinforcement Learning Approach To Maneuver A Quadrotor Despite Single Rotor Failure
Paras Sharma, Prithvi Poddar, P. B. Sujit
Ability to recover from faults and continue mission is desirable for many quadrotor applications. The quadrotor's rotor may fail while performing a mission and it is essential to d…
Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Sensing, Communication, and Localization Constraints
Manav Mishra, Prithvi Poddar, Rajat Agarwal +3
Determining multi-robot motion policies for persistently monitoring a region with limited sensing, communication, and localization constraints in non-GPS environments is a challeng…
NMPC-Based Cooperative Strategy For A Target Pair To Lure Two Attackers Into Collision
Amith Manoharan, P. B. Sujit
This paper presents a cooperative target defense strategy using nonlinear model-predictive control (NMPC) framework for a two--targets two--attackers (2T2A) game. The 2T2A game con…
OffRoadTranSeg: Semi-Supervised Segmentation using Transformers on OffRoad environments
Anukriti Singh, Kartikeya Singh, P. B. Sujit
We present OffRoadTranSeg, the first end-to-end framework for semi-supervised segmentation in unstructured outdoor environment using transformers and automatic data selection for l…
Target-Following Double Deep Q-Networks for UAVs
Sarthak Bhagat, P. B. Sujit
Target tracking in unknown real-world environments in the presence of obstacles and target motion uncertainty demand agents to develop an intrinsic understanding of the environment…
OFFSEG: A Semantic Segmentation Framework For Off-Road Driving
Kasi Viswanath, Kartikeya Singh, Peng Jiang +2
Off-road image semantic segmentation is challenging due to the presence of uneven terrains, unstructured class boundaries, irregular features and strong textures. These aspects aff…