Abstract: Planning a constrained obstacle-free motion for a robot can be computationally complex, often resulting in slow computation of inefficient motions. In this talk, we propose solutions to (1) speed up computation using Fog Robotics serverless computing, (2) compute time-optimized motions that incorporate pick-and-place gripper-aware constraints, and (3) warm start motion planning using deep learning....
Speaker 1: Muhammad A. Mohd Sharif (School of Mechanical Engineering, University of Leeds) Title: Novel Wall Traction Generation Mechanism based on Hydrodynamic Downforce for In-Pipe Robot Locomotion Inside Active Water Pipelines Abstract: It is estimated that around 3 billion litres of water are wasted through leakages every day throughout England from pipes that are reaching...
Speaker: Dr Mehmet Dogar (School of Computing, University of Leeds) When: Tuesday 2nd November, 18:00 - 21:00 Where: The Library Pub, The Lending Room, 1st Floor (229 Woodhouse Lane, LS2 3AP). Short bio: Dr Mehmet Dogar is an Associate Professor in the School of Computing at Leeds, having joined in 2015. His research and that...
Speaker: Dr Ornella Iuorio (School of Civil Engineering, University of Leeds) When: Wednesday 22nd September, 18:00 - 21:00 Where: The Library Pub, The Lending Room, 1st Floor (229 Woodhouse Lane, LS2 3AP). Short bio: Dr. Ornella Iuorio is an academic, researcher and designer working at the edge between architecture and structures. Ornella received a PhD...
Speaker 1: James Martin (School of Electrical and Electronic Engineering, University of Leeds) Title: Robotic Endoscope Autonomy Abstract: Research into autonomy for medical robotics seeks to achieve clinically appropriate milestones, with each subsequent goal being separated by a significant increase in robotic intelligence. In the context of robotic control for magnetic endoscopes, autonomy is crucial...
Abstract: While human interaction remains key to a caring treatment, medical robotics holds the potential to improve surgical processes through enabling scaling of forces and actuation, providing safe and individual treatments to patients, and allowing for efficient use of health care personnel and resources. Machine learning algorithms and standardization of processes can increase the quality...
Speaker: Prof Pietro Valdastri (University of Leeds) When: Thursday 8th July, 12:00 - 13:00 Where: Zoom (please register) Short Bio: Pietro Valdastri is a Full Professor and Chair in Robotics and Autonomous Systems at the University of Leeds. He directs the Science and Technologies Of Robotics in Medicine (STORM) Lab, focusing on intelligent robots to...
Abstract: Robotic Building (RB) research has been focusing on advancing robotics in architecture. With help of 4TU funding RB lab have been established in 2014. Since then, RB research focuses on the integration of Design-to-Robotic-Production and -Operation (D2RP&O) chains by linking design and production with smart operation of the built environment and by advancing applications...
Abstract: A wide range of applications can benefit from robots acquiring manipulation skills by interaction with humans. In this presentation, I will discuss the challenges that such learning process encompasses, including representations for manipulation skills that can exploit the structure and geometry of the acquired data in an efficient way, the development of optimal control...
Speaker: Jan-Nico Zaech, ETH Zürich Title: From Tracking to Planning: Context Understanding for Autonomous Systems When: Wednesday 19th May, 1700-1800 Where: Zoom (free but registration required) Abstract: Autonomous systems are currently moving from isolated and controlled settings into more open environments that include interactions with other robots as well as humans. While this comes with...
