Abstract: In this talk, I will describe the work done in the context of the Japanese Science and Technology (JST) Moonshot projects that we have been involved in since the past year.
Abstract: This talk introduces SoftManiSim, a fast, open-source simulator for multi-segment continuum robots that models dynamic loading and contact. Designed for real-time use and deep learning integration, SoftManiSim supports parallel simulations and generates high-quality synthetic data for training. I will highlight two key applications: (1) using the simulator to develop a framework for shape-aware control of tendon-driven continuum robots; and (2) applying the simulation framework in a design study aiming to enhance continuum robot stability and safety.
Abstract: our recent work proposes a robot system which contains three main components: 1. Data processing module for extracting human hand motion trajectory and object motions. 2. Retargeting module based on MANO hand model for mapping from human motions to robot motions. 3. Residual action learning with RL for learning how to refine imperfect motion priors. With the proposed system, robot can quickly learn how to complete complex dexterous manipulation task with one single human video demo.
Abstract: Human feedback is widely considered the 'gold standard' for AI alignment, but what if this 'gold' reflects inherently diverse and conflicting human views on what constitutes ‘good’ and ‘safe’? This keynote will explore the technical and ethical challenges posed by differing viewpoints and opinions across individuals and groups.
Abstract: our recent work proposes a robot system which contains three main components: 1. Data processing module for extracting human hand motion trajectory and object motions. 2. Retargeting module based on MANO hand model for mapping from human motions to robot motions. 3. Residual action learning with RL for learning how to refine imperfect motion priors. With the proposed system, robot can quickly learn how to complete complex dexterous manipulation task with one single human video demo.
Talk on Generative AI in design support, In EM2.44 11AM-12PM on Thursday 19th June
Speaker: Dr. ANDREA GENEROSI PROFILE
Speaker: Zhaoxing Deng
Title: Automated Skill Evaluation of Bronchoscopy Operators Using Geometric Feature Analysis
Abstract: Designers draw extensively to externalize their ideas and communicate with others. But drawings are currently not directly interpretable by computers. To test their ideas against physical reality, designers have to create 3D models suitable for simulation and 3D printing. However, the visceral and approximate nature of drawing clashes with the tediousness and rigidity of 3D modeling. As a result, designers only model finalized concepts, and have no feedback on feasibility during creative exploration.
Abstract: Human feedback is widely considered the 'gold standard' for AI alignment, but what if this 'gold' reflects inherently diverse and conflicting human views on what constitutes ‘good’ and ‘safe’? This keynote will explore the technical and ethical challenges posed by differing viewpoints and opinions across individuals and groups.
Title of the Talk: HAIR - Healthcare Applications and Interactive Robotics
Invited Speaker: Ildar Farkhatdinov
Time: June 2nd, Monday, between 15:00-16:00
Location: Earl Mountbatten Building, Room EM2.44.
Abstract: