Skydio, the main U.S. drone producer and world chief in autonomous flight expertise, at present introduced the growth of its world-class autonomy workforce with the hiring of 4 high PhD graduates from the Robotics and Notion Group led by Prof. Davide Scaramuzza on the College of Zurich, and the Excessive Efficiency Robotics Lab led by Prof. Mark Mueller at UC Berkeley.
Collectively, Davide Falanga, Nathan Bucki, Philip Foehn, and Elia Kaufmann convey an unimaginable wealth of expertise constructing cutting-edge flying robots that push the boundaries of agile maneuvering, tightly couple notion and planning, and bodily work together with their surroundings. Davide, Nathan, Philipp, and Elia will increase Skydio’s world-class movement planning workforce, led by Jack Zhu.
“We’re thrilled to welcome these wonderful researchers and engineers to the Movement Planning workforce! Our group builds and maintains the methods that generate and execute collision-free drone motions via advanced environments. To do that, we use a fastidiously chosen association of numerical optimization strategies, quick code, and correct physics fashions,” stated Zhu. “Our workforce has sturdy roots within the academia of flying robots, which places us in a singular place to use novel concepts from the forefront of robotics analysis immediately into sturdy, real-world merchandise. We’re trying ahead to working with these 4 gifted workforce members to push our automobiles’ efficiency to their full capabilities — and have a ton of enjoyable whereas doing it.”
Davide Falanga accomplished his PhD on the Robotics and Notion Group, growing strategies to take advantage of movement planning and management to deal with the constraints of onboard sensors for high-speed, agile flight with small-scale, light-weight, vision-based autonomous quadrotors.
“I made a decision to affix Skydio to make robots as impactful as potential on our world and the society we stay in,” stated Falanga. “I wish to resolve difficult issues that push the boundaries of the cutting-edge and contribute to maximizing the affect that autonomous robots can have on everybody’s life, ranging from at present, in a significant means.”
Nathan Bucki graduated with a PhD from the Excessive Efficiency Robotics Lab, centered on novel quadcopter designs, computationally environment friendly planning algorithms, and environment friendly on-line mannequin studying.
“I joined Skydio for 2 principal causes: their extremely brilliant engineering workforce and their dedication to advancing the capabilities of autonomous robots,” stated Bucki. “As a graduate scholar I used to be amazed by what Skydio has been capable of obtain within the domains of notion, planning, and management, and am extremely excited to push the innovation in these areas even additional.”
Philipp Foehn joins Skydio after finishing a PhD on the Robotics and Notion Group centered on autonomous drone racing, the place he has demonstrated autonomous drone efficiency that exceeds professional drone pilots.
“I encountered Skydio for the primary time after I was attending a convention on robotics throughout my PhD, and I used to be shocked by their workforce, data, and product. I felt like I discovered individuals who share my ardour for expertise and stylish options,” stated Foehn. “As an individual working in analysis on related matters, I used to be time and time amazed by the autonomy Skydio’s drones obtain and the extent of robustness at which they accomplish that.”
Elia Kaufmann is a PhD candidate on the Robotics and Notion Group working on the intersection of management, machine studying, and pc imaginative and prescient for robotics purposes. He demonstrated end-to-end discovered insurance policies for high-speed autonomous flight via difficult environments and aerial acrobatics. “At Skydio, I can work on the forefront of aerial robotics and develop algorithms for the following technology of drones”, notes Kaufmann. “I’m proud to change into a member of a world-class workforce of researchers and engineers and alter the way forward for aerial robotics.”
To be taught extra:
AI Drone quicker than People? Time-Optimum Planning for Quadrotor Waypoint Flight
AlphaPilot: Autonomous Drone Racing (RSS 2020)
Studying Excessive-Velocity Flight within the Wild (Science Robotics, 2021)
Deep Drone Acrobatics (RSS 2020)
Dynamic Impediment Avoidance for Quadrotors with Occasion Cameras (Science Robotics 2020)
The Foldable Drone: A Morphing Quadrotor that may Squeeze and Fly
PAMPC: Notion-Conscious Mannequin Predictive Management for Quadrotors
Design and Management of a Midair Reconfigurable Quadcopter utilizing Unactuated Hinges
Agile Drone Flight via Slim Gaps with Onboard Sensing and Computing
RAPPIDS: A Quick Planner for Multicopter Navigation