2 citations · 4 across the 6 of their papers we have counts for
5 papers · 1 filter
DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments
Aakriti Agrawal, Senthil Hariharan, Amrit Singh Bedi +1
We present a novel reinforcement learning (RL) based task allocation and decentralized navigation algorithm for mobile robots in warehouse environments. Our approach is designed fo…
RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments
Aakriti Agrawal, Amrit Singh Bedi, Dinesh Manocha
We present a novel reinforcement learning based algorithm for multi-robot task allocation problem in warehouse environments. We formulate it as a Markov Decision Process and solve…
Accurate Prediction and Estimation of 3D-Repetitive-Trajectories using Kalman Filter, Machine Learning and Curve-Fitting Method
Aakriti Agrawal, Aashay Bhise, Rohitkumar Arasanipalai +3
Accurate estimation and prediction of trajectory is essential for the capture of any high speed target. In this paper, an extended Kalman filter (EKF) is used to track the target i…
Control of a Nature-inspired Scorpion using Reinforcement Learning
Aakriti Agrawal, V S Rajashekhar, Rohitkumar Arasanipalai +1
A terrestrial robot that can maneuver rough terrain and scout places is very useful in mapping out unknown areas. It can also be used explore dangerous areas in place of humans. A…
Mid-flight Propeller Failure Detection and Control of Propeller-deficient Quadcopter using Reinforcement Learning
Rohitkumar Arasanipalai, Aakriti Agrawal, Debasish Ghose
Quadcopters can suffer from loss of propellers in mid-flight, thus requiring a need to have a system that detects single and multiple propeller failures and an adaptive controller…