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20122026
most citedKARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving Tasks

2 citations · 8 across the 13 of their papers we have counts for

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8 papers · 1 filter

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…

cs.RO2023

IBBT: Informed Batch Belief Trees for Motion Planning Under Uncertainty

Dongliang Zheng, Panagiotis Tsiotras

In this work, we propose the Informed Batch Belief Trees (IBBT) algorithm for motion planning under motion and sensing uncertainties. The original stochastic motion planning proble…

cs.RO2023

Non-Trivial Query Sampling For Efficient Learning To Plan

Sagar Suhas Joshi, Panagiotis Tsiotras

In recent years, learning-based approaches have revolutionized motion planning. The data generation process for these methods involves caching a large number of high quality paths…