2 citations · 8 across the 13 of their papers we have counts for
8 papers · 1 filter
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…
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…
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*…
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…
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…
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…