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Automatic optimization of robotic behavior has been the long-standing goal of Evolutionary Robotics. Allowing the problem at hand to be solved by automation often leads to novel approaches and new insights. A common problem encountered with…

Robotics · Computer Science 2019-12-18 Kirk Y. W. Scheper , Guido C. H. E. de Croon

This paper presents a round-trip strategy of multirotors subject to unknown flow disturbances. During the outbound flight, the vehicle immediately utilizes the wind disturbance estimations in feedback control, as an attempt to reduce the…

Robotics · Computer Science 2021-06-11 Jaeseung Byun , Simo A. Mäkiharju , Mark W. Mueller

In this paper we propose an algorithm for the training of neural network control policies for quadrotors. The learned control policy computes control commands directly from sensor inputs and is hence computationally efficient. An imitation…

Robotics · Computer Science 2019-07-01 Stefan Stevsic , Tobias Naegeli , Javier Alonso-Mora , Otmar Hilliges

Robust adaptive model predictive control (RAMPC) is a novel control method that combines robustness guarantees with respect to unknown parameters and bounded disturbances into a model predictive control scheme. However, RAMPC has so far…

Systems and Control · Electrical Eng. & Systems 2021-08-27 Alexandre Didier , Anilkumar Parsi , Jeremy Coulson , Roy S. Smith

We tackle the problem of minimum-time flight for a quadrotor through a sequence of waypoints in the presence of obstacles while exploiting the full quadrotor dynamics. Early works relied on simplified dynamics or polynomial trajectory…

Robotics · Computer Science 2022-06-22 Robert Penicka , Yunlong Song , Elia Kaufmann , Davide Scaramuzza

Micro aerial vehicles are widely being researched and employed due to their relative low operation costs and high flexibility in various applications. We study the under-actuated quadrotor perching problem, designing a trajectory planner…

Robotics · Computer Science 2021-03-05 Chen-Huan Pi , Kai-Chun Hu , Yu-Ting Huang , Stone Cheng

This paper presents a technique to cope with the gap between high-level planning, e.g., reference trajectory tracking, and low-level controlling using a learning-based method in the plan-based control paradigm. The technique improves the…

Robotics · Computer Science 2024-01-23 Geesara Kulathunga , Hany Hamed , Alexandr Klimchik

Quadcopters have been studied for decades thanks to their maneuverability and capability of operating in a variety of circumstances. However, quadcopters suffer from dynamical nonlinearity, actuator saturation, as well as sensor noise that…

Robotics · Computer Science 2024-06-19 Truong-Dong Do , Nguyen Xuan Mung , Sung Kyung Hong

Quadrotors are one of the popular unmanned aerial vehicles (UAVs) due to their versatility and simple design. However, the tuning of gains for quadrotor flight controllers can be laborious, and accurately stable control of trajectories can…

Robotics · Computer Science 2022-03-29 Vu Phi Tran , M. A Mabrok , Sreenatha G. Anavatti , Matthew A. Garratt , Ian R. Petersen

Traditional learning approaches proposed for controlling quadrotors or helicopters have focused on improving performance for specific trajectories by iteratively improving upon a nominal controller, for example learning from demonstrations,…

Systems and Control · Computer Science 2016-10-20 Somil Bansal , Anayo K. Akametalu , Frank J. Jiang , Forrest Laine , Claire J. Tomlin

Quadrotors have demonstrated remarkable versatility, yet their full aerobatic potential remains largely untapped due to inherent underactuation and the complexity of aggressive maneuvers. Traditional approaches, separating trajectory…

Robotics · Computer Science 2025-06-02 Zhichao Han , Xijie Huang , Zhuxiu Xu , Jiarui Zhang , Yuze Wu , Mingyang Wang , Tianyue Wu , Fei Gao

Fast and precise motion control is important for industrial robots in manufacturing applications. However, some collaborative robots sacrifice precision for safety, particular for high motion speed. The performance degradation is caused by…

Robotics · Computer Science 2019-08-12 Shuyang Chen , John T. Wen

The ability of aerial robots to operate in the presence of failures is crucial in various applications that demand continuous operations, such as surveillance, monitoring, and inspection. In this paper, we propose a fault-tolerant control…

Robotics · Computer Science 2023-09-27 Jennifer Yeom , Guanrui Li , Giuseppe Loianno

Accurate trajectory tracking is an essential characteristic for the safe navigation of a quadrotor in cluttered or disturbed environments. In this paper, we present in detail two state-of-the-art model-based control frameworks for…

Robotics · Computer Science 2024-11-12 Thanh Nguyen Canh , Huy-Hoang Ngo , Anh Viet Dang , Xiem HoangVan

This work addresses the practical problem of distributed formation tracking control of a group of quadrotor vehicles in a relaxed sensing graph topology with a very limited sensor set, where only one leader vehicle can access the global…

Systems and Control · Electrical Eng. & Systems 2026-01-21 S. Doodeman , Z. Tang , M. Jacinto , R. Cunha , C. Silvestre

In autonomous aerial navigation, real-time and energy-efficient obstacle avoidance remains a significant challenge, especially in dynamic and complex indoor environments. This work presents a novel integration of neuromorphic event cameras…

Robotics · Computer Science 2024-07-02 Amogh Joshi , Sourav Sanyal , Kaushik Roy

The widespread adoption of quadrotors for diverse applications, from agriculture to public safety, necessitates an understanding of the aerodynamic disturbances they create. This paper introduces a computationally lightweight model for…

Robotics · Computer Science 2024-12-13 Leonard Bauersfeld , Koen Muller , Dominic Ziegler , Filippo Coletti , Davide Scaramuzza

Fault-tolerant control is crucial for safety-critical systems, such as quadrotors. State-of-art flight controllers can stabilize and control a quadrotor even when subjected to the complete loss of a rotor. However, these methods rely on…

Robotics · Computer Science 2021-03-01 Sihao Sun , Giovanni Cioffi , Coen de Visser , Davide Scaramuzza

Drones have become essential in various applications, but conventional quadrotors face limitations in confined spaces and complex tasks. Deformable drones, which can adapt their shape in real-time, offer a promising solution to overcome…

Robotics · Computer Science 2025-05-22 Yuze Wu , Zhichao Han , Xuankang Wu , Yuan Zhou , Junjie Wang , Zheng Fang , Fei Gao

Fixed-wing vertical take-off and landing (VTOL) aircraft pose a unique control challenge that stems from complex aerodynamic interactions between wings and rotors. Thus, accurate estimation of external forces is indispensable for achieving…

Robotics · Computer Science 2020-10-02 Xichen Shi , Patrick Spieler , Ellande Tang , Elena-Sorina Lupu , Phillip Tokumaru , Soon-Jo Chung