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20162026
most citedConstrained Feedforward Neural Network Training via Reachability Analysis

5 citations · 8 across the 27 of their papers we have counts for

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22 papers · 1 filter

cs.RO2026

RTD-RAX: Fast, Safe Trajectory Planning for Systems under Unknown Disturbances

Evanns Morales-Cuadrado, Long Kiu Chung, Shreyas Kousik +1

Reachability-based Trajectory Design (RTD) is a provably safe, real-time trajectory planning framework that combines offline reachable-set computation with online trajectory optimi…

cs.RO2026

The Talking Robot: Distortion-Robust Acoustic Models for Robot-Robot Communication

Hanlong Li, Karishma Kamalahasan, Jiahui Li +2

We present Artoo, a learned acoustic communication system for robots that replaces hand-designed signal processing with end-to-end co-trained neural networks. Our system pairs a li…

cs.RO2026

Selecting Spots by Explicitly Predicting Intention from Motion History Improves Performance in Autonomous Parking

Long Kiu Chung, David Isele, Faizan M. Tariq +3

In many applications of social navigation, existing works have shown that predicting and reasoning about human intentions can help robotic agents make safer and more socially accep…

cs.RO2026

A Closed-Form Geometric Retargeting Solver for Upper Body Humanoid Robot Teleoperation

Chuizheng Kong, Yunho Cho, Wonsuhk Jung +11

Retargeting human motion to robot poses is a practical approach for teleoperating bimanual humanoid robot arms, but existing methods can be suboptimal and slow, often causing undes…

cs.RO2025

Joint Model-based Model-free Diffusion for Planning with Constraints

Wonsuhk Jung, Utkarsh A. Mishra, Nadun Ranawaka Arachchige +3

Model-free diffusion planners have shown great promise for robot motion planning, but practical robotic systems often require combining them with model-based optimization modules t…

cs.RO2025

Ask, Reason, Assist: Robot Collaboration via Natural Language and Temporal Logic

Dan BW Choe, Sundhar Vinodh Sangeetha, Steven Emanuel +3

Increased robot deployment, such as in warehousing, has revealed a need for collaboration among heterogeneous robot teams to resolve unforeseen conflicts. To this end, we propose a…