Faculty Events
Faculty Candidate: Petter Nilsson
Areas of Interest: Improving design practices and advancing the capabilities of autonomous systems Host: Stephen Smith Admin Contact: Keyla Cook keylac@andrew.cmu.edu
2018 Robotics Institute Faculty Retreat
Private Event: By Invitation Only The 2018 two-day RI faculty retreat will be held at the Omni Bedford Springs Resort, Monday-Tuesday, June 11-12. More information to follow as we get closer to the date. Thank you!
RI Faculty Social
All Robotics Institute faculty are invited to attend this informal team-building business/social event. Beverages and snacks will be provided.
Multimodal Computational Behavior Understanding
Emotions influence our lives. Observational methods of measuring affective behavior have yielded critical insights, but a persistent barrier to their wide application is that they are labor-intensive to learn and to use. An automated system that can quantify and synthesize human affective behavior in real-world environments would be a transformational tool for research and for [...]
Fully Autonomous Drones for Wind Power Turbine Inspection
Abstract: The wind energy industry is growing rapidly. In the U.S. alone, the wind industry invested more than $11 billion in new plants in 2017 and added more than 7,000 megawatts of new capacity, representing 25% of all electric capacity added. One of the biggest challenges to growth remains the high costs of constructing wind [...]
RI Faculty Social All Robotics Institute faculty are invited to attend this informal team-building business/social event
All Robotics Institute faculty are invited to attend this informal team-building business/social event. Our November Robotics Institute Faculty Social will be hosted by Martial Hebert in NSH 4305, from 3:00 to 4:00pm.
Faster, Safer, Smaller: The future of autonomy needs all three
Abstract In this talk I will start with state estimation as my PhD work. Very often, state estimation plays a crucial role in a robotic system serving as a building block for autonomy. Challenges are to carry out state estimation in 6-DOF, in real-time at high frequencies, with high precision, robust to aggressive motion and [...]