Energy-Efficient Indoor Search by Swarms of Flying Robots without Global Information
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Modular robots hold promise of adaptability, robustness, and versatility. Synchronization of modules is critical; if a module is asynchronous, not only will the robot fail to perform tasks properly, but its behavior may be self-destructive through self-col ...
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Evaluating and updating the obstacle avoidance velocity for an autonomous robot in real-time ensures robustness against noise and disturbances. A passive damping controller can obtain the desired motion with a torque-controlled robot, which remains complia ...
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Order, regularities, and patterns are ubiquitous around us. A flock of birds maneuvering in the sky, the self-organization of social insects, a global pandemic or a traffic jam are examples of complex systems where the macroscopic patterns arise from the m ...
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The aim of this project was to assemble, interconnect, and program a group of ground robots. The objective of the robot control is to cooperatively complete a set of tasks where each task represents a goal location that needs to be visited. For the hardwar ...
Multimodal unmanned aerial vehicles (UAVs) are rarely capable of more than two modalities, i.e., flying and walking or flying and perching. However, being able to fly, perch, and walk could further improve their usefulness by expanding their operating enve ...
Biohybrid systems in which robotic lures interact with animals have become compelling tools for probing and identifying the mechanisms underlying collective animal behavior. One key challenge lies in the transfer of social interaction models from simulatio ...
Effective collaboration in multi-robot systems requires accurate and robust estimation of relative localization: from cooperative manipulation to collaborative sensing, and including cooperative exploration or cooperative transportation. This paper introdu ...
Aerial robot swarms can have a large socio-economic impact. They can perform time-critical missions faster than a single robot and access dangerous environments without compromising human safety. However, swarm deployment is often limited to free environme ...
An optimal planning algorithm enables swarms of flying robots to explore unknown environments autonomously and safely. ...
AMER ASSOC ADVANCEMENT SCIENCE2022
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Developing robots that can explore environments without disturbing the natural flora and fauna could allow a safe exploration for both the robot and its surroundings. However, this can involve exploring complex or challenging environments, for example extr ...