activity
20152026
most citedRapidly-exploring Random Trees-based Test Generation for Autonomous Vehicles

8 citations · 30 across the 23 of their papers we have counts for

collaborators

32 papers

cs.RO2026

FalconTrack: Photorealistic Auto-Labeled Perception and Physics-Aware Vision-Based Aerial Tracking

Yan Miao, Karteek Gandiboyina, Noah Giles +4

Vision-based aerial tracking is critical in GPS-denied environments. Reliable perception for tracking depends on large-scale labeled data, yet most photorealistic datasets rely on…

cs.AI2026

Sample-Efficient Learning of Probabilistic Causes for Reachability in Markov Decision Processes with Probabilistic Guarantees

Ryohei Oura, Georgios Fainekos, Hideki Okamoto +1

Probabilistic model checking for Markov decision processes (MDPs) provides quantitative guarantees, but often offers limited insight into why undesired outcomes occur. Probability-…

cs.RO2026

Spatio-Temporal Grounding of Large Language Models from Perception Streams

Jacob Anderson, Bardh Hoxha, Georgios Fainekos +2

Embodied-AI agents must reason about how objects move and interact in 3-D space over time, yet existing smaller frontier Large Language Models (LLMs) still mis-handle fine-grained…

cs.RO2025

Safe Model Predictive Diffusion with Shielding

Taekyung Kim, Keyvan Majd, Hideki Okamoto +3

Generating safe, kinodynamically feasible, and optimal trajectories for complex robotic systems is a central challenge in robotics. This paper presents Safe Model Predictive Diffus…

cs.CV2025

LogSTOP: Temporal Scores over Prediction Sequences for Matching and Retrieval

Avishree Khare, Hideki Okamoto, Bardh Hoxha +2

Neural models such as YOLO and HuBERT can be used to detect local properties such as objects ("car") and emotions ("angry") in individual frames of videos and audio clips respectiv…

cs.RO2025

Performance-Guided Refinement for Visual Aerial Navigation using Editable Gaussian Splatting in FalconGym 2.0

Yan Miao, Ege Yuceel, Georgios Fainekos +3

Visual policy design is crucial for aerial navigation. However, state-of-the-art visual policies often overfit to a single track and their performance degrades when track geometry…