Two best papers, four award finalists at ICRA 2019

Prof. Yu Sun's team receives Best Paper Automation award at ICRA 2019 for "Robotic Orientation Control of Deformable Cells" (Changsheng Dai, Zhuoran Zhang, Yuchen Lu, Guanqiao Shan, Xian Wang, Qili Zhao, Yu Sun). Photo courtesy Xiaoyu Zhu.

Prof. Yu Sun’s team receives Best Paper Automation award at ICRA 2019 for “Robotic Orientation Control of Deformable Cells” (Changsheng Dai, Zhuoran Zhang, Yuchen Lu, Guanqiao Shan, Xian Wang, Qili Zhao, Yu Sun). Photo courtesy Xiaoyu Zhu.

UofT researchers presented 25 papers at the 2019 IEEE International Conference on Robotics and Automation in Montreal, covering everything from micro-manipulators to autonomous vehicles and drone swarms, to robot assistants.

In addition to Prof. Raquel Urtasun’s plenary talk on a Future With Affordable Self-Driving Vehicles, UofT’s contributions included 4 award finalists and 2 best paper awards:

Animesh Garg, who joins the University of Toronto Robotics Institute this summer, receives "Best Paper Award at ICRA 2019 for Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks" ( Michelle Lee, Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Fei-Fei Li, Animesh Garg, Jeannette Bohg).

Animesh Garg, who joins the University of Toronto Robotics Institute this summer, receives “Best Paper Award at ICRA 2019 for Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks” (Michelle Lee, Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Fei-Fei Li, Animesh Garg, Jeannette Bohg). Photo courtesy Xiaoyu Zhu.

Another highlight of ICRA this year was the standing-room-only Robotics Debates workshop, organized by Lee Clement
Valentin Peretroukhin, and Matthew Giamou of Prof. Jonathan Kelly’s STARS Lab.

Prof. Angela Schoellig debates whether the pervasiveness of deep learning in robotics research is an impediment to gaining scientific insights into robotics problems, with Oliver Brock (TU Berlin), Ryan Gariepy (Clearpath Robotics), and Nick Roy (MIT) at the ICRA 2019. Photo courtesy Lee Clement.

Prof. Angela Schoellig debates whether the pervasiveness of deep learning in robotics research is an impediment to gaining scientific insights into robotics problems, with Oliver Brock (TU Berlin), Ryan Gariepy (Clearpath Robotics), and Nick Roy (MIT) at the ICRA 2019. Photo courtesy Lee Clement.

The debates workshop brought together prominent researchers and industry leaders to formally debate key issues affecting robotics as an academic discipline and its broader social and economic contexts. A summary of the debates will be published in the September 2019 issue of IEEE Robotics and Automation Magazine.

Altogether,  54 UofT co-authors contributed to ICRA proceedings in 2019. This is the first year ICRA was held in Canada. See all our ICRA 2019 photos on Flickr.

University Robotics Institute booth at ICRA 2019. Photo courtesy Xiaoyu Zhu.

University Robotics Institute booth at ICRA 2019. Photo courtesy Xiaoyu Zhu.

 

University Robotics Institute at ICRA 2019. Photo courtesy Xiaoyu Zhu.

University Robotics Institute at ICRA 2019. Photo courtesy Xiaoyu Zhu.