bianchini-love engineering
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Contact
If you'd like to contact us, feel free to do so via email!
Henry's email: hwlove@seas.upenn.edu
Bibit's email: bibit@seas.upenn.edu
Bianchini
Updated: Mar 27, 2024
We were invited to give a talk at the Workshop on Leveraging Models for Contact-Rich Manipulation at the International Conference on Intelligent Robots and Systems (IROS) 2023 in Detroit, MI. I presented our progress on a contact-implicit robot controller for performing manipulation tasks. The controller works in real time thanks to local models that still preserve contact-derived multimodality, injected with global insights from sampling hypothetical end effector locations.
Updated: Mar 27, 2024
We were invited to give a talk at the Workshop on Leveraging Models for Contact-Rich Manipulation at the International Conference on Intelligent Robots and Systems (IROS) 2023 in Detroit, MI. I presented our progress on a contact-implicit robot controller for performing manipulation tasks. The controller works in real time thanks to local models that still preserve contact-derived multimodality, injected with global insights from sampling hypothetical end effector locations.
If you'd like to contact us, feel free to do so via email!
Henry's email: hwlove@seas.upenn.edu
Bibit's email: bibit@seas.upenn.edu
Bianchini
Updated: Mar 27, 2024
We were invited to give a talk at the Workshop on Leveraging Models for Contact-Rich Manipulation at the International Conference on Intelligent Robots and Systems (IROS) 2023 in Detroit, MI. I presented our progress on a contact-implicit robot controller for performing manipulation tasks. The controller works in real time thanks to local models that still preserve contact-derived multimodality, injected with global insights from sampling hypothetical end effector locations.
Updated: Mar 27, 2024
We were invited to give a talk at the Workshop on Leveraging Models for Contact-Rich Manipulation at the International Conference on Intelligent Robots and Systems (IROS) 2023 in Detroit, MI. I presented our progress on a contact-implicit robot controller for performing manipulation tasks. The controller works in real time thanks to local models that still preserve contact-derived multimodality, injected with global insights from sampling hypothetical end effector locations.