Bio-inspired robots, better algorithms for self-driving cars, and more

Bio-inspired robots, better algorithms for self-driving cars, and more

Newswise — From animal-inspired robots and even amoebas, to better algorithms for self-driving cars and robotic surgery, UCSD researchers will present a wide range of papers in IROS 2022which returns in mixed format from October 23 to 27, 2022.

IROS is one of the largest and most influential robotics research conferences worldwide. It provides an international forum for the international robotics research community to explore the frontiers of science and technology in intelligent robotics and intelligent machines. The theme of IROS 2022 is “Artificial Intelligence Embodied in a Symbiotic Society.” The in-person part of the conference will be held in Kyoto, Japan.

said Henrik Christensen, Director of CRI and Professor in the Department of Computer Science and Engineering. “Not only are we coming back to a personal deal, but we’re also coming back with a stronger deck of cards, which is very satisfying.”

Below are the papers contributed by researchers from the Departments of Computer Science, Electrical Engineering, Computer Engineering, and Mechanical and Aerospace Engineering this year.

Nikolai Atanasov

Safe control synthesis with uncertain dynamics and limitations

K. Long, F.; Diman, M.; Locke, c. Curtis, N.; Atanasov

DARL1N: Reinforced multifactor learning distributed with single hop neighbors

Bi Wang, Ji-Z, Wen. Atanasov

Active mapping via gradient optimization of mutual Shannon information across continuous SE paths (3)

A. Asgharivaskasi, S. Koga and N. Atanasov,

WFA-IRL: Reverse reinforcement learning for independent behaviors encoded as weighted finite automatism

T. Wang and N. Atanasov

Shawn Zhao

Learning-based autonomous driving control safety measurement using maximum obstacle functions

Authors: Zhizhen Qin, Tsui-Wei Weng, Sicun Gao

Nick Gravish

Amoeba-inspired swimming through isometric modification of body shape

C. Sparks, N. Justus, R. Hutton, N. Gravish

Chest-compliant design for durability and flexible energy exchange in flapping-wing robots

Hang Zhao, James Lynch and Nick Gravish

Sylvia Herbert

Refining control barrier functions through Hamilton-Jacobi conductivity

Sander Tonkins and Sylvia Herbert

Tania Morimoto

Learn non-parametric models in real time with our online generalized expert product

Conor Watson and Tanya K. Morimoto

Design and evaluation of a miniature force sensor based on backscattering

Daiji Park, Agrim Gupta, Shaion Bashar, Cedric Gerard, Dinesh Bhardya and Tania. K. Morimoto

Haptic perception of robotic growth via discrete curvature measurements

Mika Bryant, Conor Watson, Tanya K. Morimoto

Mike Tolli

Move by active suction in a starfish-inspired soft robot

Ishida M., Sandoval JA, Lee S., Huen S., Tolley MT (2022)

Xiaolong Wang

From one hand to multiple hands: simulated learning for clever processing from remote operation with a single camera.

Yuzhe Qin, Hao Su, Xiaolong Wang

Online adaptation of tacit organism tracking and shape reconstruction in the wild.

Jianglong Ye, Yuntao Chen, Naiyan Wang, and Xiaolong Wang.

Vision-guided quadrupole motion in the wild with multimodal delay randomization.

Chieko Sarah Imai, Minghao Zhang, Yuchen Zhang, Marcin Kierebiński, Ruihan Yang, Yuzhe Qin and Xiaolong Wang.

press release

Michael Yep

6D Posture Tracking Markless Suture Needle with Strong Uncertainty Estimate for Minimally Invasive Robotic Surgery

Ziyun Qiu, and Albert Z. Leah, Florian Richter, Bjorn Johnson, and Michael Cep

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