Mike Hagenow (@hagenowrobotics) 's Twitter Profile
Mike Hagenow

@hagenowrobotics

Postdoctoral Fellow at @MIT_CSAIL. PhD/MS from @UWMadEngr, BS from @TuftsMechEng. Research in algorithmic human-robot interaction (HRI).

ID: 1773426184870633472

linkhttps://www.hageneaux.com/ calendar_today28-03-2024 19:05:31

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Mike Hagenow (@hagenowrobotics) 's Twitter Profile Photo

Deadline extended to submit to our #RSS2024 Robotics: Science and Systems Workshop: Mechanisms for Mapping Human Input to Robots mechanisms-hri.github.io New deadline: 5/17 AOE!

Yiğit Korkmaz (@yigitkkorkmaz) 's Twitter Profile Photo

📢Exciting news! Our workshop Human-in-the-Loop Robot Learning: Teaching, Correcting, and Adapting has been accepted to RSS 2025!🤖🎉Join us as we explore how robots can learn from and adapt to human interactions and feedback. 🔗Workshop website: hitl-robot-learning.github.io 🧵👇

📢Exciting news! Our workshop Human-in-the-Loop Robot Learning: Teaching, Correcting, and Adapting has been accepted to RSS 2025!🤖🎉Join us as we explore how robots can learn from and adapt to human interactions and feedback.
🔗Workshop website: hitl-robot-learning.github.io 🧵👇
Mike Hagenow (@hagenowrobotics) 's Twitter Profile Photo

Very honored to be selected as part of this year’s RSS Pioneers cohort! Many thanks to the organizing committee for their hard work in putting together the workshop. I’m looking forward to connecting with everyone at RSS in Los Angeles this summer! RSS Pioneers

MIT CSAIL Alliances (@csail_alliances) 's Twitter Profile Photo

.MIT CSAIL postdoc Mike Hagenow is advancing human-robot collaboration by developing methods for training, shared control & task efficiency. His work focuses on enabling robots to work alongside people in complex, high-skill environments. More: bit.ly/4k7YzMM

.<a href="/MIT_CSAIL/">MIT CSAIL</a> postdoc <a href="/hagenowrobotics/">Mike Hagenow</a> is advancing human-robot collaboration by developing methods for training, shared control &amp; task efficiency. His work focuses on enabling robots to work alongside people in complex, high-skill environments. 

More: bit.ly/4k7YzMM
MIT CSAIL (@mit_csail) 's Twitter Profile Photo

A new handheld interface from MIT gives anyone the ability to train a robot for tasks in fields like manufacturing. The versatile tool can teach a robot new skills using one of three approaches: natural teaching, kinesthetic training, & teleoperation: bit.ly/4nTAw6F

A new handheld interface from MIT gives anyone the ability to train a robot for tasks in fields like manufacturing.

The versatile tool can teach a robot new skills using one of three approaches: natural teaching, kinesthetic training, &amp; teleoperation: bit.ly/4nTAw6F