 The 2025 IEEE International Conference on Robotics and Automation (ICRA) best paper winners and finalists in the various different categories have been announced. The recipients were revealed during an award ceremony at the conference, which took place from 19-23 May in Atlanta, USA. IEEE ICRA Best Paper Award on Robot Learning Winner *Robo-DM: Data Management …
Congratulations to the #ICRA2025 best paper award winners Read More »
 The 2025 IEEE International Conference on Robotics & Automation (ICRA) took place from 19–23 May, in Atlanta, USA. The event featured plenary and keynote sessions, tutorial and workshops, forums, and a community day. Find out what the participants got up during the conference. 📸 Check out what’s happening at the #ICRA2025 Welcome Reception! pic.twitter.com/w66IQDFsku — …
 Claire chatted to Jane Pauline Ramos Ramirez from Delft University of Technology about drones that can move on land and in the air. Jane Pauline Ramos Ramirez is a licensed engineer with a multidisciplinary background in bionics, mechanical, and aerospace engineering, and international research experience. Her life’s work is rooted in designing inclusive, socially accessible …
Robot Talk Episode 122 – Bio-inspired flying robots, with Jane Pauline Ramos Ramirez Read More »
 Claire chatted to Lerrel Pinto from New York University about using machine learning to train robots to adapt to new environments. Lerrel Pinto is an Assistant Professor of Computer Science at New York University (NYU). His research is aimed at getting robots to generalize and adapt in the messy world we live in. His lab …
Robot Talk Episode 121 – Adaptable robots for the home, with Lerrel Pinto Read More »
 The 2025 IEEE International Conference on Robotics and Automation (ICRA) will take place from 19-23 May, in Atlanta, USA. The event will feature plenary talks, technical sessions, posters, workshops and tutorials, forums, and a science communication short course. Plenary speakers There are three plenary sessions this year. The speakers are as follows: Allison Okamura (Stanford …
 Kushal Kedia (left) and Prithwish Dan (right) are members of the development team behind RHyME, a system that allows robots to learn tasks by watching a single how-to video. By Louis DiPietro Cornell researchers have developed a new robotic framework powered by artificial intelligence – called RHyME (Retrieval for Hybrid Imitation under Mismatched Execution) – …
Robot see, robot do: System learns after watching how-tos Read More »
 Photo credit: Muntaka Chasant, reproduced under a CC BY-SA 4.0 license. By Kaja Å eruga Just outside the historic German town of Goslar, a sprawling industrial complex receives an endless stream of discarded electronics. On arrival, this electronic waste is laboriously prepared for recycling. Electrocycling GmbH is one of the largest e-waste recycling facilities in Europe. …
AI-powered robots help tackle Europe’s growing e-waste problem Read More »
 Claire chatted to Emma Hart from Edinburgh Napier University about algorithms that ‘evolve’ better robot designs and control systems. Emma Hart is a computer scientist working in the field of evolutionary computation. Her work takes inspiration from the natural world, in particular biological evolution, and uses this to develop algorithms that ‘evolve’ both the design …
Robot Talk Episode 120 – Evolving robots to explore other planets, with Emma Hart Read More »
 Claire chatted to Will Kinghorn from Made Smarter about how to increase adoption of new tech by small manufacturers. Will Kinghorn is an automation and robotics specialist for the Made Smarter Adoption Programme in the UK. With a background as a chartered manufacturing engineer in the aerospace industry, Will has extensive experience in developing and …
Robot Talk Episode 119 – Robotics for small manufacturers, with Will Kinghorn Read More »
 Imagine if all of our cars could drive themselves – autonomous driving is becoming possible, but to what extent? To get a vehicle somewhere by itself may not seem so tricky if the route is clear and well defined, but what if there are more cars, each trying to get to a different place? And …
Multi-agent path finding in continuous environments Read More »
