Manuela Veloso

Herbert A. Simon Professor, Computer Science

Courtesy Appointment, Mechanical Engineering

Bio

Manuela Veloso’s long-term research goal is the effective construction of autonomous agents where cognition, perception, and action are combined to address planning, execution, and learning tasks. Her vision is that multiple intelligent robots with different sets of complementary capabilities will provide a seamless synergy of intelligence. Manuela Veloso’s research focuses on the continuous integration of reactive, deliberative planning, and control learning for teams of multiple agents acting in adversarial, dynamic, and uncertain environments. Her multiagent and multirobot research interests have been motivated by and experimented in the domain of robot soccer. Since 2009, she has been investigating indoor mobile, service, companion robots, CoBots, such that robots and humans interact in a symbiotic relationship building upon individual strengths and limitations. Veloso created and directs her CORAL overarching research lab for the research on intelligent agents that Collaborate, Observe, Reason, Act, and Learn. As of 2010, she has ten PhD students and has graduated other twenty one PhD students, whose theses are available at her website www.cs.cmu.edu/~mmv. She thanks her students for the compelling research that they jointly pursue.

Education

Ph.D., Computer Science, 1992, Carnegie Mellon University, Pittsburgh

M.A., Computer Science, 1986, Boston University, Boston

M.Sc., Electrical and Computer Engineering, 1984, Instituto Superior Técnico, Lisbon, Portugal

Licenciatura, Electrical Engineering, 1980, Instituto Superior Técnico, Lisbon, Portugal

Selected Publications

Complete list available at www.cs.cmu.edu/~mmv.

• WiFi Localization and Navigation for Autonomous Indoor Mobile Robots,  Joydeep Biswas and Manuela Veloso.  In Proceedings of ICRA, 2010.
• Confidence-based multi-robot learning from demonstration,  Sonia Chernova and Manuela Veloso. International Journal of Social Robotics, 2:195--215, 2010.
• Tactics-Based Behavioural Planning for Goal-Driven Rigid-Body Control. Stefan Zickler and Manuela Veloso. Computer Graphics Forum. Vol:28 Num:8 Pg:2302-231. And Variable Level-Of-Detail Motion Planning in Environments with Poorly Predictable BodiesVariable Level-of-Detail Physics-Based Planning,  Stefan Zickler and Manuela Veloso . 19th European Conference on Artificial Intelligence, ECAI 2010 
• A Survey of Robot Learning from Demonstration,   Brenna Argall, Sonia Chernova, Manuela Veloso, and Brett Browning. Robotics and Autonomous Systems, 57(5):469--483, 2009.
• Biped Walk Learning Through Playback and Corrective Demonstration, Cetin Mericli and Manuela Veloso. In Proceedings of AAAI'10, the Twenty-Fourth Conference on Artificial Intelligence, Atlanta, GA, July 2010.
• Effective Multi-Model Motion Tracking Using Team Actuation Models, Yang Gu and Manuela Veloso. International Journal of Robotics Research, 28(1):3--19, 2009.