• News Views Podcast Learn team about contribute republish AIhub resources AIhub events News Views Podcast Learn News Views Podcast Learn Robohub highlights 2025 Over the course of the year, we’ve had the pleasure of working with many talented researchers from across the globe. • As 2025 draws to a close, we take a look back at some of the excellent blog posts, interviews and podcasts from our contributors. • Teaching robot policies without new demonstrations: interview with Jiahui Zhang and Jesse ZhangJiahui Zhang and Jesse Zhang to tell us about their framework for learning robot manipulation tasks solely from language instructions without per-task demonstrations. • CoRL2025 - RobustDexGrasp: dexterous robot hand grasping of nearly any objectHui Zhang writes about work presented at CoRL2025 on RobustDexGrasp, a novel framework that tackles different grasping challenges with targeted solutions. • Robot Talk Episode 133 - Creating sociable robot collaborators, with Heather KnightRobot Talk host Claire Asher chatted to Heather Knight from Oregon State University about applying methods from the performing arts to robotics. • Generations in Dialogue: Human-robot interactions and social robotics with Professor Marynel VasquezIn this podcast from AAAI, host Ella Lan asked Professor Marynel Vázquez about what inspired her research direction, how her perspective on human-robot interactions has changed over time, robots navigating the social world, and more.
Article Summaries:
- Robohub’s year‑end roundup spotlights a broad spectrum of 2025 robotics research. Highlights include Jiahui and Jesse Zhang’s framework for teaching robot manipulation solely from language, Hui Zhang’s RobustDexGrasp system for dexterous grasping, and discussions on sociable robot collaborators and human‑robot interaction from AAAI and CoRL. The series also covers robust controller design for partially observable environments, wearable‑sensor human activity recognition, and RoboCup 2025 best‑paper work on self‑supervised soccer ball detection. Additional features feature normative reinforcement learning, waste‑reduction robotics, multi‑agent pathfinding, and updates from RoboCup Rescue and the Small‑Size League. The collection underscores rapid progress in robot learning, social interaction, and practical applications.
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