[Quantum-ms] [Seminar] EE Faculty Candidate Lecture 3/25 at 11:40am

[Columbia EE Events]

[image: Left-aligned blue cuee logo.png]

*Please join us for EE faculty candidate lecture on 3/25!*

*When: *3/25, Tuesday, 11:40am - 12:40pm
*Where: *CEPSR 750, also via zoom
<https://columbiauniversity.zoom.us/j/4419920270#success >.
*Who:* Dr. Haoshu Fang
*Title: *Data Science for Human-level Robotic Manipulation
<https://www.ee.columbia.edu/events/ee-seminar-data-science-human-level-robotic-manipulation >

*Abstract:* Machine learning has revolutionized many subfields of robotics,
from visual perception to task planning. However, the fundamental challenge
of low-level motor control for object manipulation with raw sensory
observations remains unresolved, primarily due to the lack of robot state
and action data during manipulation. This issue is particularly pronounced
in tasks requiring multi-finger coordination and fine tactile sensing.
Addressing the data problem is essential, as many modalities of robotic
data, such as tactile and proprioceptive information, are not readily
available online. The key scientific questions in this domain are: (i) how
to collect data, (ii) what data to collect, and (iii) how to learn
effectively from such data. In this talk, I will (i) introduce a novel
paradigm for data collection through the design of innovative interaction
interfaces, (ii) demonstrate how identifying key dimensions for scaling
data can enable human-level robotic grasping, and (iii) present methods and
insights on efficiently learning from heterogeneous robotic data.

*Bio: *Haoshu Fang is a Postdoctoral Researcher at MIT CSAIL, working with
Pulkit Agrawal and Edward Adelson. He earned his PhD from Shanghai Jiao
Tong University. Haoshu's research focuses on general robotic manipulation,
addressing the data challenge by designing data-centric hardware,
leveraging data scaling laws, and developing data-efficient learning
methods. His work has been recognized with three best paper or nomination
awards at top robotics conferences and prestigious fellowships from
Microsoft, Baidu, and ByteDance.

*Faculty Host: *James Anderson
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.ee.columbia.edu/pipermail/quantum-ms/attachments/20250313/26647603/attachment-0001.htm>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: Left-aligned blue cuee logo.png
Type: image/png
Size: 197821 bytes
Desc: not available
URL: <http://lists.ee.columbia.edu/pipermail/quantum-ms/attachments/20250313/26647603/attachment-0001.png>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: Haoshu fang poster.pdf
Type: application/pdf
Size: 15747195 bytes
Desc: not available
URL: <http://lists.ee.columbia.edu/pipermail/quantum-ms/attachments/20250313/26647603/attachment-0001.pdf>