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This paper develops the proof of concept for a novel affine transformable unmanned ground vehicle (ATUGV) with the capability of safe and aggressive deformation while carrying multiple payloads. The ATUGV is a multi-body system with mobile…

Robotics · Computer Science 2026-02-10 Aron Mathias , Mohammad Ghufran , Jack Hughes , Hossein Rastgoftar

Connected and automated vehicles (CAVs) represent the future of transportation, utilizing detailed traffic information to enhance control and decision-making. Eco-driving of CAVs has the potential to significantly improve energy efficiency,…

Systems and Control · Electrical Eng. & Systems 2024-12-20 Zongtan Li , Yunli Shao

Deep reinforcement learning has shown promise in various engineering applications, including vehicular traffic control. The non-stationary nature of traffic, especially in the lane-free environment with more degrees of freedom in vehicle…

Robotics · Computer Science 2024-06-24 Mehran Berahman , Majid Rostami-Shahrbabaki , Klaus Bogenberger

Unmanned aerial vehicles (UAVs) have become very popular for many military and civilian applications including in agriculture, construction, mining, environmental monitoring, etc. A desirable feature for UAVs is the ability to navigate and…

Robotics · Computer Science 2021-11-02 Taha Elmokadem

This paper introduces AUTOBargeSim, a simulation toolbox for autonomous inland vessel guidance and control system design. AUTOBargeSim is developed using MATLAB and provides an easy-to-use introduction to various aspects of autonomous…

Systems and Control · Electrical Eng. & Systems 2025-06-23 Abhishek Dhyani , Amirreza Haqshenas Mojaveri , Chengqian Zhang , Dhanika Mahipala , Hoang Anh Tran , Yan-Yun Zhang , Zhongbi Luo , Vasso Reppa

Multi-vehicle coordinated decision making and control can improve traffic efficiency while guaranteeing driving safety. Formation control is a typical multi-vehicle coordination method in the multi-lane scenario. Among the existing…

Systems and Control · Electrical Eng. & Systems 2021-05-03 Mengchi Cai , Qing Xu , Chaoyi Chen , Jiawei Wang , Keqiang Li , Jianqiang Wang , Qianying Zhu

Visual monitoring operations underwater require both observing the objects of interest in close-proximity, and tracking the few feature-rich areas necessary for state estimation.This paper introduces the first navigation framework, called…

This paper is on the automated driving architecture and operation of a light commercial vehicle. Simple longitudinal and lateral dynamic models of the vehicle and a more detailed CarSim model are developed and used in simulations and…

Autonomous mobile robots (AMRs) have been a rapidly expanding research topic for the past decade. Unlike their counterpart, the automated guided vehicle (AGV), AMRs can make decisions and do not need any previously installed infrastructure…

Robotics · Computer Science 2024-06-13 Russell Keith , Hung Manh La

Connected and autonomous vehicles (CAVs) are promising due to their potential safety and efficiency benefits and have attracted massive investment and interest from government agencies, industry, and academia. With more computing and…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-08-03 Liangkai Liu , Shaoshan Liu , Weisong Shi

In this paper, an exponentially stable trajectory tracking controller is proposed for multi-UAV payload transport. The multi-UAV payload system has a 2-DOF magnetic spherical joint between the UAVs and the vertical rigid links of the…

Robotics · Computer Science 2022-07-12 Nishanth Rao , Suresh Sundaram

Networked Control System (NCS) is a paradigm where sensors, controllers, and actuators communicate over a shared network. One promising application of NCS is the control of Automated Guided Vehicles (AGVs) in the industrial environment, for…

Networking and Internet Architecture · Computer Science 2025-09-09 Filippo Bragato , Tullia Fontana , Marco Giordani , Malte Schellmann , Josef Eichinger , Michele Zorzi

The steady increase in the number of vehicles operating on the highways continues to exacerbate congestion, accidents, energy consumption, and greenhouse gas emissions. Emerging mobility systems, e.g., connected and automated vehicles…

Systems and Control · Electrical Eng. & Systems 2022-06-13 Sai Krishna Sumanth Nakka , Behdad Chalaki , Andreas Malikopoulos

Collaborative object transportation using multiple Micro Aerial Vehicles (MAVs) with limited communication is a challenging problem. In this paper we address the problem of multiple MAVs mechanically coupled to a bulky object for…

Robotics · Computer Science 2017-11-27 Andrea Tagliabue , Mina Kamel , Roland Siegwart , Juan Nieto

With the advent of 5G and beyond, using wireless communication for closed-loop control and automation processes is one of the main aspects of the envisioned Industry 4.0. In this regard, a major challenge is to ensure a robust and stable…

Systems and Control · Electrical Eng. & Systems 2020-10-05 Shreya Tayade , Peter Rost , Andreas Maeder , Hans D Schotten

Traffic congestion is a major challenge in modern urban settings. The industry-wide development of autonomous and automated vehicles (AVs) motivates the question of how can AVs contribute to congestion reduction. Past research has shown…

Artificial Intelligence · Computer Science 2022-07-08 Jiaxun Cui , William Macke , Harel Yedidsion , Daniel Urieli , Peter Stone

Autonomous vessels have emerged as a prominent and accepted solution, particularly in the naval defence sector. However, achieving full autonomy for marine vessels demands the development of robust and reliable control and guidance systems…

Systems and Control · Electrical Eng. & Systems 2024-04-19 Benoit Clement , Marie Dubromel , Paulo E. Santos , Karl Sammut , Michelle Oppert , Feras Dayoub

Maritime Autonomous Surface Ships (MASS) are increasingly regarded as a promising solution to address crew shortages, improve navigational safety, and improve operational efficiency in the maritime industry. Nevertheless, the reliable…

Connectivity and automation in vehicles provide the most intriguing opportunity for enabling users to better monitor transportation network conditions and make better operating decisions to improve safety and reduce pollution, energy…

Optimization and Control · Mathematics 2017-11-01 Liuhui Zhao , Andreas Malikopoulos , Jackeline Rios-Torres

Multi-Agent Path Finding (MAPF) has gained significant attention, with most research focusing on minimizing collisions and travel time. This paper also considers energy consumption in the path planning of automated guided vehicles (AGVs).…

Robotics · Computer Science 2025-10-30 Ahmad Kokhahi , Mary Kurz