5 papers
Multi-Objective Kinodynamic Motion Planning with Asymptotic Pareto Optimality
Yusif Razzaq, Anne Theurkauf, Nisar Ahmed +1
In this paper, we address the challenge of multi-objective motion planning for systems under kinodynamic constraints. We consider three problem classes: (i) lexicographic optimizat…
Beyond Fixed Goal Delivery: Online POMDP Planning for Target Interception in Crowds
Himanshu Gupta, Kelvin Aladum, Nisar Ahmed +2
Target interception in crowded environments requires reaching a moving objective while navigating among multiple uncertain human agents. Since human navigation intent is not direct…
Chance-Constrained Multi-Robot Motion Planning under Gaussian Uncertainties
Anne Theurkauf, Justin Kottinger, Nisar Ahmed +1
We consider a chance-constrained multi-robot motion planning problem in the presence of Gaussian motion and sensor noise. Our proposed algorithm, CC-K-CBS, leverages the scalabilit…
Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories
Aastha Acharya, Rebecca Russell, Nisar R. Ahmed
Giving autonomous agents the ability to forecast their own outcomes and uncertainty will allow them to communicate their competencies and be used more safely. We accomplish this by…
Chance-Constrained Motion Planning with Event-Triggered Estimation
Anne Theurkauf, Qi Heng Ho, Roland Ilyes +2
We consider the problem of autonomous navigation using limited information from a remote sensor network. Because the remote sensors are power and bandwidth limited, we use event-tr…