105 citations · 106 across the 6 of their papers we have counts for
6 papers
Generalized Benders Decomposition with Continual Learning for Hybrid Model Predictive Control in Dynamic Environment
Xuan Lin
Hybrid model predictive control (MPC) with both continuous and discrete variables is widely applicable to robotic control tasks, especially those involving contact with the environ…
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction
Xuan Lin, Lichang Dai, Yafang Zhou +9
Recent advances and achievements of artificial intelligence (AI) as well as deep and graph learning models have established their usefulness in biomedical applications, especially…
Benchmark Results for Bookshelf Organization Problem as Mixed Integer Nonlinear Program with Mode Switch and Collision Avoidance
Xuan Lin, Gabriel I. Fernandez, Dennis W. Hong
Mixed integer convex and nonlinear programs, MICP and MINLP, are expressive but require long solving times. Recent work that combines data-driven methods on solver heuristics has s…
Multi-Modal Multi-Agent Optimization for LIMMS, A Modular Robotics Approach to Delivery Automation
Xuan Lin, Gabriel Fernandez, Yeting Liu +3
In this paper we present a motion planner for LIMMS, a modular multi-agent, multi-modal package delivery platform. A single LIMMS unit is a robot that can operate as an arm or leg…
SCALER: A Tough Versatile Quadruped Free-Climber Robot
Yusuke Tanaka, Yuki Shirai, Xuan Lin +5
This paper introduces SCALER, a quadrupedal robot that demonstrates climbing on bouldering walls, overhangs, ceilings and trotting on the ground. SCALER is one of the first high-de…
Learning Near-global-optimal Strategies for Hybrid Non-convex Model Predictive Control of Single Rigid Body Locomotion
Xuan Lin, Feng Xu, Alexander Schperberg +1
Convex model predictive controls (MPCs) with a single rigid body model have demonstrated strong performance on real legged robots. However, convex MPCs are limited by their assumpt…