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Morphing multirotors, such as the Foldable Drone , can increase the versatility of drones employing in-flight-adaptive-morphology. To further increase precision in their tasks, recent works have investigated stable flight in asymmetric…

Robotics · Computer Science 2022-01-03 Amedeo Fabris , Kevin Kleber , Davide Falanga , Davide Scaramuzza

In the automotive industry, multi-element wings have been used to improve the aerodynamics of race cars. Multi-element wings can enhance a vehicle's handling and stability by reducing drag and increasing downforce, allowing it to corner…

Fluid Dynamics · Physics 2023-11-09 Paras Singh , Arun Ravindranath , Aryan Tyagi , Aryaman Rao , Raj Kumar Singh

Geometry-morphing Micro Aerial Vehicles (MAVs) are gaining more and more attention lately, since their ability to modify their geometric morphology in-flight increases their versatility, while expanding their application range. In this…

The energy demand of vehicles, particularly in unsteady drive cycles, is affected by complex dynamics internal to the engine and other powertrain components. Yet, in many applications, particularly macroscopic traffic flow modeling and…

Systems and Control · Electrical Eng. & Systems 2023-10-11 Nour Khoudari , Sulaiman Almatrudi , Rabie Ramadan , Joy Carpio , Mengsha Yao , Kenneth Butts , Alexandre M. Bayen , Jonathan W. Lee , Benjamin Seibold

Adaptive morphogenetic robots adapt their morphology and control policies to meet changing tasks and environmental conditions. Many such systems leverage soft components, which enable shape morphing but also introduce simulation and control…

Air-land bimodal vehicles provide a promising solution for navigating complex environments by combining the flexibility of aerial locomotion with the energy efficiency of ground mobility. However, planning dynamically feasible, smooth,…

Robotics · Computer Science 2025-09-18 Shaoting Liu , Wenshuai Yu , Bo Zhang , Shoubin Chen , Fei Ma , Zhou Liu , Qingquan Li

The abundance of materials and the development of the economy have led to the flourishing of the logistics industry, but have also caused certain pollution. The research on GVRP (Green vehicle routing problem) for planning vehicle routes…

Neural and Evolutionary Computing · Computer Science 2024-10-22 YY. Feng

The focus of this work is to present a novel methodology for optimal distribution of a swarm formation on either side of an obstacle, when evading the obstacle, to avoid overpopulation on the sides to reduce the agents' waiting delays,…

Robotics · Computer Science 2020-11-10 Jawad N. Yasin , Mohammad-Hashem Haghbayan , Muhammad Mehboob Yasin , Juha Plosila

Adaptive structures are equipped with sensors and actuators to actively counteract external loads such as wind. This can significantly reduce resource consumption and emissions during the life cycle compared to conventional structures. A…

Systems and Control · Electrical Eng. & Systems 2023-12-11 Manuel Schaller , Amelie Zeller , Michael Böhm , Oliver Sawodny , Cristina Tarín , Karl Worthmann

What if a robot could rethink its own morphological representation to better meet the demands of diverse tasks? Most robotic systems today treat their physical form as a fixed constraint rather than an adaptive resource, forcing the same…

Robotics · Computer Science 2026-05-05 Nataliya Nechyporenko , Yutong Zhang , Sean Campbell , Alessandro Roncone

An optimal control based methodology is proposed for minimising the combustible fuel consumption of a hybrid vehicle equipped with an internal combustion engine, a high-speed flywheel and a battery. The three-dimensionality of the road is…

Optimization and Control · Mathematics 2017-08-08 Mehdi Imani Masouleh , David J. N. Limebeer

Autonomous vehicles usually consume a large amount of computational power for their operations, especially for the tasks of sensing and perception with artificial intelligence algorithms. Such a computation may not only cost a significant…

Systems and Control · Electrical Eng. & Systems 2021-08-02 Saurabh Jambotkar , Longxiang Guo , Yunyi Jia

Evolution sculpts both the body plans and nervous systems of agents together over time. In contrast, in AI and robotics, a robot's body plan is usually designed by hand, and control policies are then optimized for that fixed design. The…

Artificial Intelligence · Computer Science 2017-12-14 Nick Cheney , Josh Bongard , Vytas SunSpiral , Hod Lipson

Designing ground-aerial robots is challenging due to the increased actuation requirements which can lead to added weight and reduced locomotion efficiency. Morphobots mitigate this by combining actuators into multi-functional groups and…

Robotics · Computer Science 2025-03-04 Ioannis Mandralis , Reza Nemovi , Alireza Ramezani , Richard M. Murray , Morteza Gharib

The aerodynamic optimization process of cars requires multiple iterations between aerodynamicists and stylists. Response Surface Modeling and Reduced-Order Modeling are commonly used to eliminate the overhead due to Computational Fluid…

Computational Engineering, Finance, and Science · Computer Science 2022-05-26 Sam Jacob Jacob , Markus Mrosek , Carsten Othmer , Harald Köstler

Evolutionary algorithms offer great promise for the automatic design of robot bodies, tailoring them to specific environments or tasks. Most research is done on simplified models or virtual robots in physics simulators, which do not capture…

Robotics · Computer Science 2020-05-20 Tonnes F. Nygaard , David Howard , Kyrre Glette

To improve the driving mobility and energy efficiency of connected autonomous electrified vehicles, this paper presents an integrated longitudinal speed decision-making and energy efficiency control strategy. The proposed approach is a…

Signal Processing · Electrical Eng. & Systems 2020-07-27 Teng Liu , Bo Wang , Dongpu Cao , Xiaolin Tang , Yalian Yang

Aerodynamic drag on flat-backed vehicles like vans and trucks is dominated by a low-pressure wake, whose control is critical for reducing fuel consumption. This paper presents an experimental study at $Re_W\approx 78,300$ on active flow…

World models have gained significant attention as a promising approach for autonomous driving. By emulating human-like perception and decision-making processes, these models can predict and adapt to dynamic environments. Existing methods…

Robotics · Computer Science 2025-12-03 Huiqian Li , Wei Pan , Haodong Zhang , Jin Huang , Zhihua Zhong

Some animals exhibit multi-modal locomotion capability to traverse a wide range of terrains and environments, such as amphibians that can swim and walk or birds that can fly and walk. This capability is extremely beneficial for expanding…