Article content
From better algorithms for self-driving cars to better solutions for robotic surgery and better ways for robots to manipulate objects, researchers from the University of California, San Diego will present the project in Abu Dhabi from October 14th to 18th. He is presenting his research at the IROS 2024 conference. .
IROS is one of the world’s largest and most important robotics research conferences.
This year’s conference theme is “Robotics for Sustainable Development” and will focus on the role robotics can play in achieving sustainability goals.
“IROS is known as one of the most prestigious conferences in robotics and automation research, and we are excited to have a significant presence at this event,” said UC San Diego. said Henrik Christensen, director of the School of Contextual Robotics Institute. “The theme of IROS 2024 is technology for a sustainable future. We will have speakers on a wide range of topics, from smart transportation to addressing an aging society to next-generation robotic systems. It has special meaning as a conference and we are excited to be able to contribute to the spread of robotics technology.”
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 recognition and reasoning with standard-defined 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 map:
Map representation for trajectory prediction
Jing-Yan Liao, Parth Doshi, Zihan Zhang, David Paz, Henrik Christensen, University of California, San Diego
SuperPM: A large-scale deformation-resistant surgical perception framework based on deep point matching learned from physically 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, Michael C. Yip, IEEE Senior Member, 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 operation
Ruihan Yang Xiaolong Wang, Department of Electrical and Computer Engineering, University of California, San Diego
Yejin Kim, Aniruddha Kembbhavi, Kiana Ehsani PRIOR @ Allen Institute for AI
Aniruddha Kembavi University of Washington, Seattle
Website and video
In addition, Yip is one of the organizers of a workshop on machine learning in medical robotics.
For more information about research and education at the University of California, San Diego, visit Artificial Intelligence.
