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Zhikun Wang

5 accepted papers

2026

Hybrid-Driven Disc-Shaped Autonomous Underwater Vehicle With High Maneuverability and Gliding Capability: Design and Experiments

RA-L 2026

This paper presents the mechatronic design and implementation of a hybrid-driven disc-shaped autonomous underwater vehicle (HD-AUV). The hybrid-driven system integrates a buoyancy adjustment system and propeller thrusters, enabling the HD-AUV to achieve both high maneuverability motion and energy-ef

Cited by 1SourceScholar
2025

Cooperative Bearing-Only Target Pursuit via Multiagent Reinforcement Learning: Design and Experiment

IROS 2025

This paper addresses the multi-robot pursuit problem for an unknown target, encompassing both target state estimation and pursuit control. First, in state estimation, we focus on using only bearing information, as it is readily available from vision sensors and effective for small, distant targets.

Cited by 2SourceScholar
2025

TACO: General Acrobatic Flight Control via Target-and-Command-Oriented Reinforcement Learning

IROS 2025

Although acrobatic flight control has been studied extensively, one key limitation of the existing methods is that they are usually restricted to specific maneuver tasks and cannot change flight pattern parameters online. In this work, we propose a target-and-command-oriented reinforcement learning

Cited by 3SourcecodeScholar
2022

Passive Inverted Ultra-Short Baseline Positioning for a Disc-Shaped Autonomous Underwater Vehicle: Design and Field Experiments

RA-L 2022

Underwater positioning is critical to autonomous underwater vehicles (AUVs) for navigation and geo-referencing. The rapid attenuation of the electromagnetic wave in the underwater environment prevents the use of traditional positioning methods such as the Global Positioning System, whereupon acousti

Cited by 32SourceScholar