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Kevin Yu

7 accepted papers

2025

IntNet: A Communication-Driven Multi-Agent Reinforcement Learning Framework for Cooperative Autonomous Driving

RA-L 2025

Achieving safety in autonomous driving through Multi-Agent Reinforcement Learning (MARL) is a critical yet challenging task due to non-stationarity, partial observability, and the need for effective coordination among agents. Although earlier cooperative MARL methods have aimed to improve coordinati

Cited by 4SourceScholar
2024

Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search

NeurIPS 2024spotlight

Computer-aided synthesis planning (CASP) algorithms have demonstrated expert-level abilities in planning retrosynthetic routes to molecules of low to moderate complexity. However, current search methods assume the sufficiency of reaching arbitrary building blocks, failing to address the common real-…

2023

Integrated Magnetic Location Sensing and Actuation of Steerable Robotic Catheters for Peripheral Arterial Disease Treatment

RA-L 2023

Magnetically steerable robotic catheters (MSRC) are a promising technology for percutaneous endovascular intervention (PEI) procedures to treat peripheral arterial diseases (PAD), where magnetic actuation is used to steer the catheter tip during navigation. However, today's MSRC systems require fluo

Cited by 4SourceScholar
2020

Crop Height and Plot Estimation for Phenotyping from Unmanned Aerial Vehicles using 3D LiDAR

IROS 2020poster

We present techniques to measure crop heights using a 3D Light Detection and Ranging (LiDAR) sensor mounted on an Unmanned Aerial Vehicle (UAV). Knowing the height of plants is crucial to monitor their overall health and growth cycles, especially for high-throughput plant phenotyping. We present a m…

Cited by 26SourcecodeScholar
2019

Coverage of an Environment Using Energy-Constrained Unmanned Aerial Vehicles

ICRA 2019poster

We study the problem of covering an environment using an Unmanned Aerial Vehicle (UAV) with limited battery capacity. We consider a scenario where the UAV can land on an Unmanned Ground Vehicle (UGV) and recharge the onboard battery. The UGV can also recharge the UAV while transporting the UAV to th…

Cited by 51SourcecodeScholar
2018

Algorithms for Routing of Unmanned Aerial Vehicles with Mobile Recharging Stations

ICRA 2018poster

We study the problem of finding a tour for an energy-limited Unmanned Aerial Vehicle (UAV) to visit a set of sites in the least amount of time. We envision scenarios where the UAV can be recharged along the way either by landing on stationary recharging stations or on Unmanned Ground Vehicles (UGVs)…

Cited by 102SourcecodeScholar
2018

Persistent Monitoring with Refueling on a Terrain Using a Team of Aerial and Ground Robots

IROS 2018poster

There are many applications such as surveillance and mapping that require persistent monitoring of terrains. In this work, we consider a heterogeneous team of aerial and ground robots that are tasked with monitoring a terrain along a given path. Both types of robots are equipped with cameras that ca…

Cited by 47SourceScholar