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"On-the-spot Training" for Terrain Classification in Autonomous Air-Ground Collaborative Teams

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Tether Climbing Robot for Environmental Sampling and Data Collection

Josephine Anna Eleanor Hughes, Kai Christian Junge, Max Mirko Polzin, Qinghua Guan, Nicolas Mathis Minder

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 ...

2022

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 ...

IEEE2022

Blind as a Bat: Audible Echolocation on Small Robots

Martin Vetterli, Mihailo Kolundzija, Adrien Guillaume Olivier Hoffet, Adam James Scholefield, Frederike Dümbgen

For safe and efficient operation, mobile robots need to perceive their environment, and in particular, perform tasks such as obstacle detection, localization, and mapping. Although robots are often equipped with microphones and speakers, the audio modality ...

2022

Crash test-based assessment of injury risks for adults and children when colliding with personal mobility devices and service robots

Aude Billard, Diego Felipe Paez Granados

Autonomous mobility devices such as transport, cleaning, and delivery robots, hold a massive economic and social benefit. However, their deployment should not endanger bystanders, particularly vulnerable populations such as children and older adults who ar ...

2022

How to Swoop and Grasp Like a Bird With a Passive Claw for a High-Speed Grasping

Dario Floreano, William John Stewart, Enrico Ajanic, Matthias Müller

There is a growing interest in unmanned aerial vehicles (UAVs) grasping, perching, and interacting with their surroundings by means of claws, arms, hooks, and other appendages. While multirotor vehicles can slowly lower onto a target object and grasp it, w ...

2022

Optimal Task Assignment and Collision Avoidance for Mobile Robots

This report serves as a general overview of the semester project conducted in the SYCAMORE lab during the Spring 2022 semester. It focuses on multi- agent optimal task assignment methods, which have been implemented on state of the art simulation methods u ...

2022

Safety Concerns Emerging from Robots Navigating in Crowded Pedestrian Areas

Aude Billard, Diego Felipe Paez Granados, Pericle Salvini

The slogan “robots will pervade our environment” has become a reality. Drones and ground robots are used for commercial purposes while semi-autonomous driving systems are standard accessories to traditional cars. However, while our eyes have been riveted o ...

2021

Bringing advantages of parallelism and robustness, distributed robotic systems have become an active subject of research since many years. Yet, the progress in that direction with Autonomous Underwater Vehicles (AUVs) has been limited. This project aims at ...

EPFL2021

Soon human-robot interactions in pedestrian areas will be beyond the novelty effect with the deployment of delivery robots, autonomous personal mobility vehicles, and surveillance robots. Proxemics and other social rules guide these interactions, nonethele ...

2021

Source Term Estimation Algorithms for Gas Sensing Mobile Robots

Faezeh Rahbar

Localizing sources of airborne chemicals with mobile sensing systems finds applications in various crucial and perilous situations, such as safety and security investigation for detecting explosives or illegal drugs, search and rescue operations to locate ...

EPFL2021