Institute for Experiential Robotics
The Institute for Experiential Robotics focuses on the development of robots able to learn and adaptively execute autonomous behaviors from human partners and/or other robots. Experiential robotics identifies and studies use-driven research problems at the intersection of collective human-robot experience, including:
- Safe and reliable manipulation of tools and objects
- Machine learning for dexterous manipulation of novel objects
- Bilateral learning in human-robot interaction
- Robust inference of human intent
- Advanced understanding of human movement
- Secure and resilient autonomous systems
- Personalized human-robot collaboration
- Ethics of autonomous robots in support of humans
- Adaptive robot navigation in human environments
- Socioeconomic impact of collaborative robots on human work
Experiential robotics addresses these interdisciplinary research questions to advance the capabilities of autonomous robots to perform everyday tasks in collaboration with humans. Widespread adoption of autonomous robots in a broad range of human environments relies on robust robot performance and robots’ ability to adapt to uncertainties inherent in everyday human experience, safety protocols, human comfort, and social factors.
For more information contact:
t.padir@northeastern.edu
Experiential robotics, human-robot teaming at the extremes, embodied artificial intelligence
ha.singh@northeastern.edu
Machine Learning for Fisheries, SLAM in the presence of Dynamic Moving Objects, Counter UAS methodologies , Manipulation Underwater, and Imaging in Visually Degraded Environments including underwater and in polar regions
j.whitney@northeastern.edu
Human-safe robots, medical robotics, soft robotics and soft material manufacturing, MEMS, microrobotics, bio-inspired design, flapping aerodynamics and insect flight
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ECE Assistant Professor Alireza Ramezani was awarded a $681,000 NSF CAREER Award for “Dynamic Locomotion with Plasticity for Remote Sensing in Crawlspaces.” The research will focus on developing an autonomous robotic device that mimics bird and bat movement to effectively move through tight crawl spaces while gathering data through sensors.
Discovering a Passion for Robotics through Research
Serena Lin, computer engineering, participated in the UPLIFT (Undergraduate Program for Leaders in Future Transformation Program) where she started research in her first semester as an undergraduate. With a variety of hands-on research experiences, including an NSF REU and working at the Institute for Experiential Robotics, Lin found her passion in robotics.