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Mukunda Bharatheesha

3 accepted papers

2023

A Co-Simulation Framework for Communication and Control in Autonomous Multi-Robot Systems

IROS 2023poster

Multi-Robot Systems (MRS) are transforming diverse domains like logistics, cargo management, and agriculture. However, ensuring that the behavior is correct under various network conditions within such complex environments is challenging, and meeting the desired automation goals is difficult. We pro…

Cited by 5SourceScholar
2018

RRT-CoLearn: Towards Kinodynamic Planning Without Numerical Trajectory Optimization

RA-L 2018

Sampling-based kinodynamic planners, such as rapidly-exploring random trees (RRTs), pose two fundamental challenges: computing a reliable (pseudo-)metric for the distance between two random nodes, and computing a steering input to connect the nodes. The core of these challenges is a two point bounda

Cited by 37SourceScholar
2017

Automated tuning and configuration of path planning algorithms

ICRA 2017poster

A large number of novel path planning methods for a wide range of problems have been described in literature over the past few decades. These algorithms can often be configured using a set of parameters that greatly influence their performance. In a typical use case, these parameters are only very s…

Cited by 22SourceScholar