Zobrazeno 1 - 10
of 957
pro vyhledávání: '"Tan U"'
Autor:
Sun, Qi, Hong, Pengfei, Pala, Tej Deep, Toh, Vernon, Tan, U-Xuan, Ghosal, Deepanway, Poria, Soujanya
Traditional reinforcement learning-based robotic control methods are often task-specific and fail to generalize across diverse environments or unseen objects and instructions. Visual Language Models (VLMs) demonstrate strong scene understanding and p
Externí odkaz:
http://arxiv.org/abs/2412.11974
The rapid advancements in unmanned aerial vehicles (UAVs) have unlocked numerous applications, including environmental monitoring, disaster response, and agricultural surveying. Enhancing the collective behavior of multiple decentralized UAVs can sig
Externí odkaz:
http://arxiv.org/abs/2412.06231
Autor:
Pongsirijinda, Khattiya, Cao, Zhiqiang, Bhowmik, Kaushik, Shalihan, Muhammad, Lau, Billy Pik Lik, Liu, Ran, Yuen, Chau, Tan, U-Xuan
Multi-robot collaboration has become a needed component in unknown environment exploration due to its ability to accomplish various challenging situations. Potential-field-based methods are widely used for autonomous exploration because of their high
Externí odkaz:
http://arxiv.org/abs/2407.07409
Localisation in GPS-denied environments is challenging and many existing solutions have infrastructural and on-site calibration requirements. This paper tackles these challenges by proposing a localisation system that is infrastructure-free and does
Externí odkaz:
http://arxiv.org/abs/2311.02937
In this paper, we propose a ground-based monocular UAV localisation system that detects and localises an LED marker attached to the underside of a UAV. Our system removes the need for extensive infrastructure and calibration unlike existing technolog
Externí odkaz:
http://arxiv.org/abs/2311.02908
Initialisation of Autonomous Aircraft Visual Inspection Systems via CNN-Based Camera Pose Estimation
Autor:
Oh, Xueyan, Loh, Leonard, Foong, Shaohui, Koh, Zhong Bao Andy, Ng, Kow Leong, Tan, Poh Kang, Toh, Pei Lin Pearlin, Tan, U-Xuan
General Visual Inspection is a manual inspection process regularly used to detect and localise obvious damage on the exterior of commercial aircraft. There has been increasing demand to perform this process at the boarding gate to minimize the downti
Externí odkaz:
http://arxiv.org/abs/2311.02900
Autor:
Pongsirijinda, Khattiya, Cao, Zhiqiang, Shalihan, Muhammad, Ng, Benny Kai Kiat, Lau, Billy Pik Lik, Yuen, Chau, Tan, U-Xuan
Nowadays, several real-world tasks require adequate environment coverage for maintaining communication between multiple robots, for example, target search tasks, environmental monitoring, and post-disaster rescues. In this study, we look into a situa
Externí odkaz:
http://arxiv.org/abs/2310.11805
Autor:
Shalihan, Muhammad, Cao, Zhiqiang, Pongsirijinda, Khattiya, Guo, Lin, Lau, Billy Pik Lik, Liu, Ran, Yuen, Chau, Tan, U-Xuan
Localization of objects is vital for robot-object interaction. Light Detection and Ranging (LiDAR) application in robotics is an emerging and widely used object localization technique due to its accurate distance measurement, long-range, wide field o
Externí odkaz:
http://arxiv.org/abs/2310.10289
Autor:
Liu, Ran, Lau, Billy Pik Lik, Ismail, Khairuldanial, Chathuranga, Achala, Yuen, Chau, Yang, Simon X., Guan, Yong Liang, Mao, Shiwen, Tan, U-Xuan
Simultaneous localization and mapping (SLAM) is paramount for unmanned systems to achieve self-localization and navigation. It is challenging to perform SLAM in large environments, due to sensor limitations, complexity of the environment, and computa
Externí odkaz:
http://arxiv.org/abs/2305.13635
Autor:
Lau, Billy Pik Lik, Ong, Brandon Jin Yang, Loh, Leonard Kin Yung, Liu, Ran, Yuen, Chau, Soh, Gim Song, Tan, U-Xuan
Publikováno v:
IEEE Robotics and Automation Letters 2022
With the increasing need for multi-robot for exploring the unknown region in a challenging environment, efficient collaborative exploration strategies are needed for achieving such feat. A frontier-based Rapidly-Exploring Random Tree (RRT) exploratio
Externí odkaz:
http://arxiv.org/abs/2207.07484