activity
20172026
most citedLearning of Coordination Policies for Robotic Swarms

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

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7 papers · 1 filter

cs.RO2026

Hierarchical Task Model Predictive Control for Sequential Mobile Manipulation Tasks

Xintong Du, Siqi Zhou, Angela P. Schoellig

Mobile manipulators are envisioned to serve more complex roles in people's everyday lives. With recent breakthroughs in large language models, task planners have become better at t…

cs.RO2026

Perceptive Hierarchical-Task MPC for Sequential Mobile Manipulation in Unstructured Semi-Static Environments

Xintong Du, Jingxing Qian, Siqi Zhou +1

As compared to typical mobile manipulation tasks, sequential mobile manipulation poses a unique challenge -- as the robot operates over extended periods, successful task completion…

cs.RO20251 cited

SM2ITH: Safe Mobile Manipulation with Interactive Human Prediction via Task-Hierarchical Bilevel Model Predictive Control

Francesco D'Orazio, Sepehr Samavi, Xintong Du +3

Mobile manipulators are designed to perform complex sequences of navigation and manipulation tasks in human-centered environments. While recent optimization-based methods such as H…

cs.RO2020

Zeus: A System Description of the Two-Time Winner of the Collegiate SAE AutoDrive Competition

Keenan Burnett, Jingxing Qian, Xintong Du +14

The SAE AutoDrive Challenge is a three-year collegiate competition to develop a self-driving car by 2020. The second year of the competition was held in June 2019 at MCity, a mock…

cs.RO2018

Fast and In Sync: Periodic Swarm Patterns for Quadrotors

Xintong Du, Carlos E. Luis, Marijan Vukosavljev +1

This paper aims to design quadrotor swarm performances, where the swarm acts as an integrated, coordinated unit embodying moving and deforming objects. We divide the task of creati…

cs.RO2018

The Phoenix Drone: An Open-Source Dual-Rotor Tail-Sitter Platform for Research and Education

Yilun Wu, Xintong Du, Rikky Duivenvoorden +1

In this paper, we introduce the Phoenix drone: the first completely open-source tail-sitter micro aerial vehicle (MAV) platform. The vehicle has a highly versatile, dual-rotor desi…