11:30am - 1:00pm
12:00pm - 1:00pm
EB T1 or Zoom
Zoom Link: https://binghamton.zoom.us/j/94253071275?pwd=tG7iFSziEfaoXFF3rsTnXMY9MY7K2h.1
Title: Physical Intelligence for Physical Care: Towards Stakeholder-Informed Caregiving Robots in the Real World
Abstract: How can we build robots that meaningfully assist people with mobility limitations in their daily lives? To support complex caregiving tasks such as robot-assisted feeding, transferring, bathing, and meal preparation, robots must physically interact with people and objects in dynamic, unstructured environments. In this talk, I will present an overview of various projects from my lab that showcase fundamental advances in the field of physical robotic caregiving. I will highlight how we design stakeholder-informed systems—from simulation platforms to real-world deployments—by integrating multimodal perception, user feedback, and adaptive algorithms. Together, these efforts move us closer to creating caregiving robots that are not only technically capable, but are also responsive to the real needs of people in care settings.
Bio: Tapomayukh "Tapo" Bhattacharjee is an Assistant Professor in the Department of Computer Science at Cornell University where he directs the EmPRISE Lab (https://emprise.cs.cornell.edu/). He completed his Ph.D. in Robotics from Georgia Institute of Technology and was an NIH Ruth L. Kirschstein NRSA postdoctoral research associate in Computer Science & Engineering at the University of Washington. His primary research interests are in the area of physical robot caregiving and physical human-robot interaction. He is the recipient of TRI Young Faculty Researcher Award'24, NSF CAREER Award'23, AFCEA 40 under 40 Award'22, and his work has won Best Paper Award at RSS’25, Best Paper and Student Paper Award Finalist and Best HRI Paper Award Finalist at ICRA’25, Best Systems Paper Award Finalist at HRI'24, Best Demo Award at HRI'24, Best RoboCup Paper Award at IROS’22, Best Paper Award Finalist and ABB Best Student Paper Award Finalist at IROS’22, Best Technical Advances Paper Award at HRI'19, and Best Demonstration Award at NeurIPS’18. His work has also been featured in many media outlets including the BBC, Reuters, New York Times, IEEE Spectrum, and GeekWire and his robot-assisted feeding work was selected to be one of the best interactive designs of 2019 by Fast Company.
Title: Physical Intelligence for Physical Care: Towards Stakeholder-Informed Caregiving Robots in the Real World
Abstract: How can we build robots that meaningfully assist people with mobility limitations in their daily lives? To support complex caregiving tasks such as robot-assisted feeding, transferring, bathing, and meal preparation, robots must physically interact with people and objects in dynamic, unstructured environments. In this talk, I will present an overview of various projects from my lab that showcase fundamental advances in the field of physical robotic caregiving. I will highlight how we design stakeholder-informed systems—from simulation platforms to real-world deployments—by integrating multimodal perception, user feedback, and adaptive algorithms. Together, these efforts move us closer to creating caregiving robots that are not only technically capable, but are also responsive to the real needs of people in care settings.
Bio: Tapomayukh "Tapo" Bhattacharjee is an Assistant Professor in the Department of Computer Science at Cornell University where he directs the EmPRISE Lab (https://emprise.cs.cornell.edu/). He completed his Ph.D. in Robotics from Georgia Institute of Technology and was an NIH Ruth L. Kirschstein NRSA postdoctoral research associate in Computer Science & Engineering at the University of Washington. His primary research interests are in the area of physical robot caregiving and physical human-robot interaction. He is the recipient of TRI Young Faculty Researcher Award'24, NSF CAREER Award'23, AFCEA 40 under 40 Award'22, and his work has won Best Paper Award at RSS’25, Best Paper and Student Paper Award Finalist and Best HRI Paper Award Finalist at ICRA’25, Best Systems Paper Award Finalist at HRI'24, Best Demo Award at HRI'24, Best RoboCup Paper Award at IROS’22, Best Paper Award Finalist and ABB Best Student Paper Award Finalist at IROS’22, Best Technical Advances Paper Award at HRI'19, and Best Demonstration Award at NeurIPS’18. His work has also been featured in many media outlets including the BBC, Reuters, New York Times, IEEE Spectrum, and GeekWire and his robot-assisted feeding work was selected to be one of the best interactive designs of 2019 by Fast Company.
11:30am - 1:00pm
11:30am - 1:00pm
10:00am - 3:00pm
11:00am - 2:00pm
11:30am - 1:00pm
11:30am - 1:00pm
11:30am - 1:00pm
All Day
5:30pm - 8:30pm
11:30am - 1:00pm