WEBINAR: Visual Robot Learning for Planning & Control in Unknown Environments

#Autonomous #Robots #Robot #Learning #Planning #& #Control #Machine
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Autonomous robots will soon play a significant role in various domains, such as search-and-rescue, agriculture farms, homes, offices, transportation, and medical surgery, where fast, safe, and optimal response to different situations will be critical. However, to do so, these robots need fast algorithms to plan their task and motion sequences in real-time with limited perception and battery life. This talk will discuss the novel, learning-based methods for scalable robot task and motion planning that emerged from the cross-fertilization of classical planning and machine learning techniques. These methods can achieve unprecedented speed, robustness, and generalization for solving complex problems in cluttered and partially observable environments.


  Date and Time

  Location

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  • 1840 Entrepreneur Drive
  • Raleigh, North Carolina
  • United States 27606
  • Building: Engineering Building III
  • Room Number: 4142
  • Contact Event Host
  • Starts 22 February 2022 04:34 PM UTC
  • Ends 17 March 2022 06:00 PM UTC
  • No Admission Charge

  Speakers

Ahmed H. Qureshi Ahmed H. Qureshi of Department of Computer Science at Purdue University, (CoRAL) Lab

Topic:

Visual Robot Learning for Planning & Control in Unknown Environments

Biography:

Ahmed Qureshi is an Assistant Professor in the Department of Computer Science at Purdue University, where he directs the Cognitive Robot Autonomy and Learning (CoRAL) Lab. His group performs fundamental and applied research in machine learning, computer vision, and artificial intelligence to design and develop intelligent robotic systems. His work touches on various problems, including dextrous manipulation and control, mobile navigation, human-robot collaboration, autonomous driving, and healthcare. Previously, he received a B.S. in Electrical Engineering from NUST, Pakistan, an M.S. in Engineering from Osaka University, Japan, and a Ph.D. in Intelligent Systems, Robotics, and Control from the University of California San Diego.

Email:

Address:305 N. University Street, , HAAS 152, West Lafayette, Indiana, United States, 47907




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