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Junxiao Lin

6 accepted papers

2026

TopAY: Efficient Trajectory Planning for Differential Drive Mobile Manipulators Via Topological Paths Search and Arc Length-Yaw Parameterization

ICRA 2026poster

Differential drive mobile manipulators combine the mobility of wheeled bases with the manipulation capability of multi-joint arms, enabling versatile applications but posing considerable challenges for trajectory planning due to their high-dimensional state space and nonholonomic constraints. This p…

2025

FLOAT Drone: A Fully-actuated Coaxial Aerial Robot for Close-Proximity Operations

IROS 2025

How to endow aerial robots with the ability to operate in close proximity remains an open problem. The core challenges lie in the propulsion system’s dual-task requirement: generating manipulation forces while simultaneously counter-acting gravity. These competing demands create dynamic coupling eff

Cited by 2SourceScholar
2024

Collaborative Planning for Catching and Transporting Objects in Unstructured Environments

RA-L 2024

Multi-robot teams have attracted attention from industry and academia for their ability to perform collaborative tasks in unstructured environments, such as wilderness rescue and collaborative transportation. In this letter, we propose a trajectory planning method for a non-holonomic robotic team wi

Cited by 29SourceScholar
2024

Skater: A Novel Bi-Modal Bi-Copter Robot for Adaptive Locomotion in Air and Diverse Terrain

RA-L 2024

In this letter, we present a novel bi-modal bi-copter robot called Skater, which is adaptable to air and various ground surfaces. Skater consists of a bi-copter moving along its longitudinal direction with two passive wheels on both sides. Using a longitudinally arranged bi-copter as the unified act

Cited by 24SourceScholar
2023

Model-Based Planning and Control for Terrestrial-Aerial Bimodal Vehicles with Passive Wheels

IROS 2023poster

Terrestrial and aerial bimodal vehicles have gained widespread attention due to their cross-domain maneuverability. Nevertheless, their bimodal dynamics significantly increase the complexity of motion planning and control, thus hindering robust and efficient autonomous navigation in unknown environm…

Cited by 10SourceScholar