Jonathan B Michaux — accepted AI-conference papers

2025

Conformalized Reachable Sets for Obstacle Avoidance with Spheres

Yongseok Kwon, Jonathan B. Michaux, Seth Isaacson, Bohao Zhang, Matthew Ejakov, Katherine A. Skinner +1

ICRA 2025

Safe motion planning algorithms are necessary for deploying autonomous robots in unstructured environments to prevent harm to humans and avoid damage to nearby objects. Generating these motion plans in real-time is also important to ensure that the robot can adapt to sudden changes in its environmen

Cited by 8 Source ↗code ↗Scholar ↗

2024

Serving Time: Real-Time, Safe Motion Planning and Control for Manipulation of Unsecured Objects

Zachary Brei, Jonathan B. Michaux, Bohao Zhang, Patrick D. Holmes, Ram Vasudevan

RA-L 2024

A key challenge to ensuring the rapid transition of robotic systems from the industrial sector to more ubiquitous applications is the development of algorithms that can guarantee safe operation while in close proximity to humans. Motion planning and control methods, for instance, must be able to cer

Cited by 11 Source ↗code ↗Scholar ↗

2023

Reachability-based Trajectory Design with Neural Implicit Safety Constraints

Jonathan B Michaux, Yong Seok Kwon, Qingyi Chen, Ram Vasudevan

RSS 2023poster

Generating safe motion plans in real-time is a key requirement for deploying robot manipulators to assist humans in collaborative settings. In particular, robots must satisfy strict safety requirements to avoid damaging itself or harming nearby humans. This is particularly challenging if the robot…

Cited by 12 Source ↗PDF ↗Scholar ↗