IROS 2022: Bioinspired Robots, Better Algorithms for Self-driving Cars, and More

sarah Jonas

2 years ago

From robots inspired by animals and even amoeba, to better algorithms for self-driving cars and robotic surgery, researchers at the University of California San Diego will be presenting a wide range of papers at IROS 2022, which returns in a hybrid format Oct. 23 to 27, 2022.

IROS is one of the largest and most impactful robotics research conferences worldwide. It provides an international forum for the international robotics research community to explore the frontier of science and technology in intelligent robots and smart machines. The theme of IROS 2022 is “Embodied AI for a Symbiotic Society.” The in-person portion of the conference will take place in Kyoto, Japan.

“We only recently have returned to in-person conferences and it is very exciting that our Contextual Robotics Institute has 16 papers at the conference with full coverage of mechanisms, control, planning and interaction,” said Henrik Christensen, CRI director and a professor in the Department of Computer Science and Engineering. “We are not only back to in-person, but also back with a stronger set of papers, which is very gratifying.”

Here are the papers that researchers from the departments of computer science, electrical and computer engineering and mechanical and aerospace engineering are contributing this year.

Nikolai Atanasov

Safe Control Synthesis With Uncertain Dynamics and Constraints

K. Long, V. Dhiman, M. Leok, J. Cortés and N. Atanasov

DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors

B. Wang, J. Xie and N. Atanasov

Active Mapping via Gradient Ascent Optimization of Shannon Mutual Information over Continuous SE(3) Trajectories

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

WFA-IRL: Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata

T. Wang and N. Atanasov

Sean Gao

Quantifying Safety of Learning-based Self-Driving Control Using Almost-Barrier Functions

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