Contributing to the Expansion of Robotics Research at IROS 2024

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From better algorithms for self-driving vehicles, to better solutions for robotics surgery, and better ways for robots to manipulate objects, researchers at the University of California San Diego are presenting their work at the IROS 2024 conference Oct. 14 to 18 in Abu Dhabi.

​​IROS is one of the largest and most important robotics research conferences in the world.

This year, the conference’s theme is “Robotics for Sustainable Development,” focusing on the role robotics can play to achieve sustainability goals.

“IROS is known as one of the most prestigious conferences for research in robotics and automation. We are excited to have a significant presence at this event,”  said Henrik Christensen, the director of the Contextual Robotics Institute at UC San Diego. “The theme for IROS 2024 is technology for a sustainable future. Our presentations will cover a wide range of topics, from smart transportation to support for an aging population and next-generation robot systems. This conference holds special significance as it marks the first major robotics conference in that region, and we are thrilled to contribute to making robot technology more widespread.”

A Deep Signed Directional Distance Function for Object Shape Representation
E. Zobeidi and N. Atanasov, Department of Electrical and Computer Engineering, University of California San Diego

Enhancing Online Road Network Perception and Reasoning with Standard Definition Maps
Hengyuan Zhang^*, Henrik I. Christensen Department of Computer Science and Engineering, University of California San Diego
David Paz, Yuliang Guo, Arun Das, Xinyu Huang, Karsten Haug, Liu Ren Bosch Center for AI

OSM vs HD Maps:
Map Representations for Trajectory Prediction
Jing-Yan Liao, Parth Doshi, Zihan Zhang, David Paz, Henrik Christensen, University of California San Diego

SuPerPM: A Large Deformation-Robust Surgical Perception Framework Based on Deep Point Matching Learned from Physical Constrained Simulation Data
Shan Lin, Albert J. Miao, Ali Alabiad, Fei Liu, Kaiyuan Wang, Jingpei Lu, Florian Richter, Michael C. Yip, Senior Member, IEEE, Department of Electrical and Computer Engineering, University of California San Diego

SURESTEP: An Uncertainty-Aware Trajectory Optimization Framework to Enhance Visual Tool Tracking for Robust Surgical Automation
Nikhil U. Shinde, Zih-Yun Chiu, Florian Richter, Jason Lim, Yuheng Zhi and Michael C. Yip, Senior Member, IEEE, Department of Electrical and Computer Engineering, University of California San Diego
Sylvia Herbert, Department of Mechanical and Aerospace Engineering, University of California San Diego

Harmonic Mobile Manipulation
Ruihan Yang Xiaolong Wang, Department of Electrical and Computer Engineering, University of California San Diego
Yejin Kim, Aniruddha Kembhavi, Kiana Ehsani PRIOR @ Allen Institute for AI
Aniruddha Kembhavi University of Washington, Seattle
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In addition, Yip is one of the organizers of a workshop on machine learning in medical robotics.

Learn more about research and education at UC San Diego in: Artificial Intelligence