activity
20122024
most citedKARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving Tasks

2 citations · 8 across the 17 of their papers we have counts for

collaborators

17 papers

eess.SY2024

Adaptive Dual Covariance Steering with Active Parameter Estimation

Jacob W. Knaup, Panagiotis Tsiotras

This work examines the optimal covariance steering problem for systems subject to unknown parameters that enter multiplicatively with the state and control, in addition to additive…

math.OC2024

Distributionally Robust Density Control with Wasserstein Ambiguity Sets

Joshua Pilipovsky, Panagiotis Tsiotras

Precise control under uncertainty requires a good understanding and characterization of the noise affecting the system. This paper studies the problem of steering state distributio…

cs.RO2023

Active Learning with Dual Model Predictive Path-Integral Control for Interaction-Aware Autonomous Highway On-ramp Merging

Jacob Knaup, Jovin D'sa, Behdad Chalaki +4

Merging into dense highway traffic for an autonomous vehicle is a complex decision-making task, wherein the vehicle must identify a potential gap and coordinate with surrounding hu…

cs.RO2023

Communication-Aware Map Compression for Online Path-Planning

Evangelos Psomiadis, Dipankar Maity, Panagiotis Tsiotras

This paper addresses the problem of the communication of optimally compressed information for mobile robot path-planning. In this context, mobile robots compress their current loca…

cs.RO2023

LEA*: An A* Variant Algorithm with Improved Edge Efficiency for Robot Motion Planning

Dongliang Zheng, Panagiotis Tsiotras

In this work, we introduce a new graph search algorithm, lazy edged based A* (LEA*), for robot motion planning. By using an edge queue and exploiting the idea of lazy search, LEA*…

cs.RO2023

Kinodynamic FMT* with Dimensionality Reduction Heuristics and Neural Network Controllers

Dongliang Zheng, Panagiotis Tsiotras

This paper proposes a new sampling-based kinodynamic motion planning algorithm, called FMT*PFF, for nonlinear systems. It exploits the novel idea of dimensionality reduction using…