Robohub highlights 2025 – Robohub

December 29, 2025

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Over the course of the 12 months, we’ve had the pleasure of working with many proficient researchers from throughout the globe. As 2025 attracts to an in depth, we have a look again at a number of the glorious weblog posts, interviews and podcasts from our contributors.

Instructing robotic insurance policies with out new demonstrations: interview with Jiahui Zhang and Jesse Zhang

Jiahui Zhang and Jesse Zhang to inform us about their framework for studying robotic manipulation duties solely from language directions with out per-task demonstrations.

CoRL2025 – RobustDexGrasp: dexterous robotic hand greedy of almost any object

Hui Zhang writes about work introduced at CoRL2025 on RobustDexGrasp, a novel framework that tackles totally different greedy challenges with focused options.

Robotic Discuss Episode 133 – Creating sociable robotic collaborators, with Heather Knight

Robotic Discuss host Claire Asher chatted to Heather Knight from Oregon State College about making use of strategies from the performing arts to robotics.

Generations in Dialogue: Human-robot interactions and social robotics with Professor Marynel Vasquez

On this podcast from AAAI, host Ella Lan requested Professor Marynel Vázquez about what impressed her analysis course, how her perspective on human-robot interactions has modified over time, robots navigating the social world, and extra.

Studying strong controllers that work throughout many partially observable environments

On this weblog publish, Maris Galesloot summarizes work introduced at IJCAI 2025, which explores designing controllers that carry out reliably even when the atmosphere will not be exactly recognized.

Robotic Discuss Episode 130 – Robots studying from people, with Chad Jenkins

Claire Asher chatted to Chad Jenkins from College of Michigan about how robots can study from folks and help us in our day by day lives.

Interview with Zahra Ghorrati: growing frameworks for human exercise recognition utilizing wearable sensors

Zahra Ghorrati is pursuing her PhD at Purdue College, the place her dissertation focuses on growing scalable and adaptive deep studying frameworks for human exercise recognition (HAR) utilizing wearable sensors.

Self-supervised studying for soccer ball detection and past: interview with winners of the RoboCup 2025 greatest paper award

We caught up with a number of the authors of the RoboCup 2025 greatest paper award to seek out out extra in regards to the work, how their methodology will be transferred to functions past RoboCup, and their future plans for the competitors.

#IJCAI2025 distinguished paper: Combining MORL with restraining bolts to study normative behaviour

Agata Ciabattoni and Emery Neufeld introduce a framework for guiding reinforcement studying brokers to adjust to social, authorized, and moral norms.

Robotic Discuss Episode 114 – Lowering waste with robotics, with Josie Gotz

Claire Asher chatted to Josie Gotz from the Manufacturing Expertise Centre about robotics for materials restoration, reuse and recycling.

Multi-agent path discovering in steady environments

Kristýna Janovská and Pavel Surynek write about how can a gaggle of brokers minimise their journey size while avoiding collisions.

RoboCupRescue: an interview with Adam Jacoff

Discover out what’s new within the RoboCupRescue League this 12 months.

An interview with Nicolai Ommer: the RoboCup Soccer Small Dimension League

We caught up with Nicolai to seek out out extra in regards to the Small Dimension League, how the auto referees work, and the way groups use AI.

Interview with Kate Candon: Leveraging specific and implicit suggestions in human-robot interactions

Hear from PhD scholar Kate about her work on human-robot interactions.

AIhub espresso nook: Agentic AI

The AIhub espresso nook captures the musings of AI specialists over a brief dialog.

Generations in Dialogue: Multi-agent methods and human-AI interplay with Professor Manuela Veloso

Host Ella Lan chats to Professor Manuela Veloso about her analysis journey and path into AI, the historical past and evolution of AI analysis, inter-generational collaborations, and extra.