Research
Frontier robotics research: arXiv cs.RO papers, embodied AI, VLA models, manipulation, navigation and learning systems.
Frontier robotics research: arXiv cs.RO papers, embodied AI, VLA models, manipulation, navigation and learning systems.
Latest in Research
2771 storiesSAFER-Nav: Enhancing Safety for Visual Robot Navigation via Segmentation-Aware Fine-Tuning
arXiv:2606.11636v1 Announce Type: new Abstract: Vision-based navigation models, particularly foundation models, generate viable trajectories from RGB observatio…
UGV-Conditioned Multi-UAV Informative Planning on a Shared Exposure Belief
arXiv:2606.12306v1 Announce Type: new Abstract: Safe ground navigation in large, threat-augmented environments requires aerial support that actively reduces the…
NEURA Robotics to raise up to $1.4B in Series C funding for physical AI
NEURA Robotics plans to expand its platforms for robot learning and global production of humanoids and other systems. The post NEURA Robotics to raise up to $1.…
Robotics will not have a clean Llama moment
The Llama moment in robotics will not be the day a policy becomes downloadable. It will be the day another team can take that policy, adapt it to its robot, rel…
Learning robust controllers that work across many partially observable environments
In intelligent systems, applications range from autonomous robotics to predictive maintenance problems. To control these systems, the essential aspects are capt…
Teaching robot policies without new demonstrations: interview with Jiahui Zhang and Jesse Zhang
The ReWiND method, which consists of three phases: learning a reward function, pre-training, and using the reward function and pre-trained policy to learn a new…
Robot Talk Episode 136 – Making driverless vehicles smarter, with Shimon Whiteson
Claire chatted to Shimon Whiteson from Waymo about machine learning for autonomous vehicles. Shimon Whiteson is a Professor of Computer Science at the Universit…
Robot Talk Episode 137 – Getting two-legged robots moving, with Oluwami Dosunmu-Ogunbi
Claire chatted to Oluwami Dosunmu-Ogunbi from Ohio Northern University about bipedal robots that can walk and even climb stairs. Oluwami Dosunmu-Ogunbi (Wami) i…
AI detects cancer but it’s also reading who you are
AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research shows these systems can infer patien…
AI may not need massive training data after all
New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers redesigned AI systems to better resemble…
Meet the AI-powered robotic dog ready to help with emergency response
Prototype robotic dogs built by Texas A&M University engineering students and powered by artificial intelligence demonstrate their advanced navigation capa…
How everyday foam reveals the secret logic of artificial intelligence
Foams were once thought to behave like glass, with bubbles frozen in place at the microscopic level. But new simulations reveal that foam bubbles are always shi…
AI maps the hidden forces shaping cancer survival worldwide
Researchers have turned artificial intelligence into a powerful new lens for understanding why cancer survival rates differ so dramatically around the world. By…
Researchers tested AI against 100,000 humans on creativity
A massive new study comparing more than 100,000 people with today’s most advanced AI systems delivers a surprising result: generative AI can now beat the averag…
AI that talks to itself learns faster and smarter
AI may learn better when it’s allowed to talk to itself. Researchers showed that internal “mumbling,” combined with short-term memory, helps AI adapt to new tas…
AI reads brain MRIs in seconds and flags emergencies
Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of n…
How can robots acquire skills through interactions with the physical world? An interview with Jiaheng Hu
One of the key challenges in building robots for household or industrial settings is the need to master the control of high-degree-of-freedom systems such as mo…
Robot Talk Episode 146 – Embodied AI on the ISS, with Jamie Palmer
Claire chatted to Jamie Palmer from Icarus Robotics about building a robotic labour force to perform routine and risky tasks in orbit. Jamie Palmer is co-founde…
ChatGPT as a therapist? New study reveals serious ethical risks
As millions turn to ChatGPT and other AI chatbots for therapy-style advice, new research from Brown University raises a serious red flag: even when instructed t…
Scientists discover AI can make humans more creative
Artificial intelligence is often portrayed as a tool that replaces human work, but new research from Swansea University suggests a far more exciting role: creat…
Study finds ChatGPT gets science wrong more often than you think
A new study put ChatGPT to the test by asking it to judge whether hundreds of scientific hypotheses were true or false—and the results were far from reassuring.…
AI-powered robot learns how to harvest tomatoes more efficiently
A new tomato-picking robot is learning to think before it acts. Instead of simply identifying ripe fruit, it predicts how easy each tomato will be to harvest an…
A multi-armed robot for assisting with agricultural tasks
Humans often use one hand to grasp the branch for better accessibility, while the other hand is used to perform primary tasks like (a) branch pruning and (b) ha…
Resource-constrained image generation and visual understanding: an interview with Aniket Roy
In the latest in our series of interviews meeting the AAAI/SIGAI Doctoral Consortium participants, we caught up with Aniket Roy to find out more about his resea…
Robot Talk Episode 151 – Robots to study the ocean, with Simona Aracri
Claire chatted to Simona Aracri from National Research Council of Italy about innovative robot designs for oceanography and environmental monitoring. Simona Ara…
Gradient-based planning for world models at longer horizons
GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1) lifting the trajectory into virtu…
Robot Talk Episode 154 – Visual navigation in insects and robots, with Andrew Philippides
Claire chatted to Andrew Philippides from the University of Sussex about what we can learn from ants and bees to improve robot navigation. Andrew Philippides is…
New understanding of insect flight points way to stable flapping-wing robots
By David Nutt The way bugs and birds flap their wings may look effortless, but the dynamics that keep them aloft are dizzyingly complex and difficult to quantif…
Robot Talk Episode 155 – Making aerial robots smarter, with Melissa Greeff
Claire chatted to Melissa Greeff from Queen’s University about autonomous navigation and learning for drones. Melissa Greeff is an Assistant Professor in …
RoboChem Flex: democratisation of the autonomous synthesis robot
Image credit: HIMS / Nature Synthesis. In a paper published in Nature Synthesis, researchers led by Professor Timothy Noël of the University of Amsterdam’s Van …