most citedOnline Decentralized Receding Horizon Trajectory Optimization for Multi-Robot systems

2 citations · 3 across the 2 of their papers we have counts for

collaborators

5 papers

cs.RO20191 cited

Towards Scalable Continuous-Time Trajectory Optimization for Multi-Robot Navigation

Shravan Krishnan, Govind Aadithya Rajagopalan, Sivanathan Kandhasamy +1

Scalable multi-robot transition is essential for ubiquitous adoption of robots. As a step towards it, a computationally efficient decentralized algorithm for continuous-time trajec…

cs.RO2019

Continuous-Time Trajectory Optimization for Decentralized Multi-Robot Navigation

Shravan Krishnan, Govind Aadithya Rajagopalan, Sivanathan Kandhasamy +1

Multi-robot systems have begun to permeate into a variety of different fields, but collision-free navigation in a decentralized manner is still an arduous task. Typically, the navi…

cs.RO20182 cited

Online Decentralized Receding Horizon Trajectory Optimization for Multi-Robot systems

Govind Aadithya R, Shravan Krishnan, Vijay Arvindh +1

A novel decentralised trajectory generation algorithm for Multi Agent systems is presented. Multi-robot systems have the capacity to transform lives in a variety of fields. But, tr…

cs.RO2018

Collision-Free Multi Robot Trajectory Optimization in Unknown Environments using Decentralized Trajectory Planning

Vijay Arvindh, Govind Aadithya R, Shravan Krishnan +1

Multi robot systems have the potential to be utilized in a variety of applications. In most of the previous works, the trajectory generation for multi robot systems is implemented…

cs.RO2018

A Look at Motion Planning for Autonomous Vehicles at an Intersection

Shravan Krishnan, Govind Aadithya R, Rahul Ramakrishnan +2

Autonomous Vehicles are currently being tested in a variety of scenarios. As we move towards Autonomous Vehicles, how should intersections look? To answer that question, we break d…