CARRE Spring Seminar Series - Professor Ben M. Chen
Jun
20
2:30 PM14:30

CARRE Spring Seminar Series - Professor Ben M. Chen

  • University of Toronto Institute for Aerospace Studies (map)
  • Google Calendar ICS
Ben Mei Chen_Image.JPG

Title

Task and Motion Planning for Autonomous Unmanned Aerial Vehicles

Abstract

The research and market for the unmanned aerial vehicles (UAVs), or drones, has greatly expanded over the last few years. It is expected that the currently small civilian unmanned aircraft market is likely to become one of the major technological and economic stories of the modern age, due to a wide variety of possible applications and added value related to this potential technology. Modern unmanned aerial systems are gaining promising success because of their versatility, flexibility, low cost, and minimized risk of operation. Motion planning together with mission management, sensing, mapping and localization, as well as automatic flight control systems form a core framework to enable UAVs automatically performing complicated missions and tasks in obstacle-strewn and/or GPS-denied environments. In this talk, we present an autonomous unmanned system framework with advanced task and motion planning techniques and integrated with a robust and perfect tracking control method for unmanned aerial vehicles. The results are recently developed by the Unmanned Systems Research Group at National University of Singapore and Chinese University of Hong Kong, and thoroughly verified through actual flight experiments and real-life applications. 

Bio

Ben M. Chen is currently a Professor in the Department of Mechanical and Automation Engineering at the Chinese University of Hong Kong. He was a Provost's Chair Professor in the Department of Electrical and Computer Engineering, the National University of Singapore (NUS), where he was also serving as the Director of Control, Intelligent Systems and Robotics Area, and Head of Control Science Group, NUS Temasek Laboratories. His current research interests are in unmanned systems, robust control and control applications.

Dr. Chen is an IEEE Fellow. He has published more than 400 journal and conference articles, and a dozen research monographs in control theory and applications, unmanned systems and financial market modeling by Springer in New York and London. He had served on the editorial boards of several international journals including IEEE Transactions on Automatic Control and Automatica. He currently serves as an Editor-in-Chief of Unmanned Systems. Dr. Chen has received a number of research awards nationally and internationally. His research team has actively participated in international UAV competitions, and won many championships in the contests.

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3rd International Symposium on Aerial Robotics
May
27
to May 28

3rd International Symposium on Aerial Robotics

  • University of Toronto, Brennan Hall (map)
  • Google Calendar ICS
ISAR 2019_profile photo.JPG

3rd International Symposium on Aerial Robotics 2019

(photo by Nick Iwanyshyn)


University of Toronto’s
Centre for Aerial Robotics Research and Education (CARRE)
&
New York University Tandon School of Engineering

are pleased to present the 3rd International Symposium on Aerial Robotics!

27 - 28 May 2019 | Toronto, Ontario, Canada


Click above for information on this highly anticipated,
co-organized event.


REGISTRATION IS NOW OPEN!

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CARRE Industry Day 2019
May
3
9:00 AM09:00

CARRE Industry Day 2019

Thank you to all who made this event a great
success!!

We look forward to hosting this event next year!


CARRE was excited to host an Industry Day on Friday 3 May 2019!

This event hosted invited Industry Partners, welcomed students, and academics.

Industry Day 2019_photo.JPG

CARRE has a mandate to facilitate industrial training for our graduate students in the field of aerial robotics and collaboration research projects between industrial and academic partners. On May 3rd, this one-day “CARRE Industry Day” event will include the following activities:

  • Industry portfolio and presentations

  • Transport Canada RPAS Rules

  • CARRE Academic Portfolio and recent collaborative projects

  • CARRE Students (trainees) Research Portfolio and Posters

  • Internship One-on-One Recruitment Interviews

  • One-on-One Industry-Academic discussions



If you are a potential Industry Partner, and interested in participating in our next Industry Day event, please click on the button below.

REGISTRATION IS REQUIRED FOR INDUSTRY DAY EVENTS.

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CARRE Winter Seminar Series - Professor James Whidborne
Mar
21
2:30 PM14:30

CARRE Winter Seminar Series - Professor James Whidborne

  • University of Toronto Institute for Aerospace Studies (UTIAS) (map)
  • Google Calendar ICS

Title

Control of Multirotor Vehicles for Gust Rejection

Abstract

Due to their mechanical simplicity, multirotor air vehicles are being increasingly used for numerous applications. However the aircraft require feedback for stable flight, hence there are many interesting control problems that require solutions. This presentation will consider several of these, in particular the problem of operating in gusty conditions. The flight dynamics and control is explored  by analysis of a  planar birotor aircraft, in particular, the effect of rotor tilt on the stability and zero-location. It is shown that a dramatic improvement in the gust rejection properties of the vehicle can be obtained by judicious vehicle design.

Bio

James Whidborne is a Reader in Control Systems and the Head of the Dynamics, Simulation and Control (DSC) research group in the Centre for Aeronautics at Cranfield University. He received his bachelors from Cambridge University and his masters and doctorate from the University of Manchester. Following a post-doctoral position at Leicester University he spent 10 years at Kings College London, moving to Cranfield in 2004.

He has published over 200 fully refereed papers, and has authored or edited three research monographs mostly in the area  of advanced control. His research interests include  flight control, control of UAVs, flow control, robust multi-objective control design  as well as control problems in oil drilling.

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CARRE Winter Seminar Series - Professor Steven Waslander
Feb
28
2:30 PM14:30

CARRE Winter Seminar Series - Professor Steven Waslander

  • University of Toronto Institute for Aerospace Studies (UTIAS) (map)
  • Google Calendar ICS
steve-waslander-NSERC-2018-head.jpg

Title

Perception Methods for Autonomous Aerial Docking with Moving Ground Vehicles

Abstract

Docking with moving ground vehicles has long been seen as a seminal challenge for aerial autonomy.  Combining high-speed perception on embedded systems with precision control in challenging flow fields, it remains an open problem at typical driving speeds.  This talk will highlight prior and ongoing work in the Toronto Robotics and Artificial Intelligence Lab (TRAILab) on three aspects of the problem.  First, a complete solution for low speed docking will be described and demonstrated, followed by a discussion of the limitations inherent in the method, such as viewpoint restrictions and reliance on a known target.  Second, advances in dynamic camera cluster perception will be presented, which can resolve viewpoint limitations without losing state estimation accuracy.  In particular, active calibration approaches for gimballed cameras and their utility for visual odometry will be presented.  Finally, a recurrent neural network approach to multi-step motion predictions for quadrotors will be described, enabling precise motion planning over varied operating conditions.  This work sets the stage for high-speed landings on moving vehicles, an ongoing project in the TRAILab.

Bio

Professor Steven Waslander is a leading authority on autonomous aerial and ground vehicles, including multirotor drones and autonomous driving vehicles. Simultaneous Localization and Mapping (SLAM) and multi-vehicle systems.  He received his B.Sc.E. in 1998 from Queen’s University, his M.S. in 2002 and his Ph.D. in 2007, both from Stanford University in Aeronautics and Astronautics, where as a graduate student he created the Stanford Testbed of Autonomous Rotorcraft for Multi-Agent Control (STARMAC), the world’s most capable outdoor multi-vehicle quadrotor platform at the time. He was a Control Systems Analyst for Pratt & Whitney Canada from 1998 to 2001. He was recruited to Waterloo from Stanford in 2008, where he founded and directs the Waterloo Autonomous Vehicle Laboratory (WAVELab), extending the state of the art in autonomous drones and autonomous driving through advances in localization and mapping, object detection and tracking, integrated planning and control methods and multi-robot coordination. In 2018, he joined the University of Toronto Institute for Aerospace Studies (UTIAS), and founded the Toronto Robotics and Artificial Intelligence Laboratory (TRAILab).

We are proud to announce this event will be also offered as a live-stream webcast!

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