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:

Julia Whittle is a Senior Account Executive at Microsoft, specialising in managing accounts for government agencies. Julia has a passion for learning - having qualified as an electrical and electronic engineer and later being awarded an MBA. With a diverse career that began as an engineer on oil rigs, Julia has transitioned through various roles to her current position in sales. Her journey reflects a unique blend of technical expertise and business acumen. She describes herself as a techie with empathy! Julia is deeply passionate about accessibility.

Abstract: We present a framework to improve shared autonomy in teleoperated robotic systems for complex assembly tasks.