首页|Reports from Swiss Federal Institute of Technology Describe Recent Advances in R obotics (Design, Modeling, and Control of Avocado: a Multimodal Aerial-tethered Robot for Tree Canopy Exploration)

Reports from Swiss Federal Institute of Technology Describe Recent Advances in R obotics (Design, Modeling, and Control of Avocado: a Multimodal Aerial-tethered Robot for Tree Canopy Exploration)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Robotics have been published. According to news originating from Zurich, Switzerland, by News Rx correspondents, research stated, "Forests provide vital resources and service s for humanity, but preserving and restoring them is challenging due to the diff iculty of obtaining actionable data, especially in inaccessible areas, such as f orest canopies. To address this, we follow the lead of arboreal animals that exp loit multiple modes of locomotion." Financial support for this research came from Schweizerischer Nationalfonds zur Frderung der Wissenschaftlichen Forschung. Our news journalists obtained a quote from the research from the Swiss Federal I nstitute of Technology, "We combine aerial and tethered movements to enable AVOC ADO to navigate within a tree canopy. Starting from the top of a tree, it can de scend with the tether and maneuver around obstacles with thrusters. We extend ou r previous work with a new mechanical design with a protective shell, increased computational power and cameras for state estimation. We introduce a dynamic mod el and simulation, and perform a quasistatic and dynamic validation. For autonom y, we derive a control framework in simulation to regulate tether length, tilt, and heading, before transfer to the robot. We evaluate the controllers for traje ctory tracking through experiments. AVOCADO can follow trajectories around obsta cles and reject disturbances on the tether."

ZurichSwitzerlandEuropeEmerging Te chnologiesMachine LearningRobotRoboticsSwiss Federal Institute of Techno logy

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.2)