Tag
A robot defeated a human in a cage match in San Francisco, drawing attention to developments in robotics and AI capabilities.
Academics are hosting a workshop to brainstorm ways to prevent antisocial behaviors like sex in self-driving cars, aiming to ensure the technology is trusted and accepted by the public.
Figure announced it has paid $15 million to people who recorded tasks for robot training, raising questions about how to compensate human contributors.
The paper develops a framework for prompt design in LLM-based robots to prevent hallucinated capabilities and misleading personas, introducing a structured template with eight functional components based on expert surveys and literature review.
This paper recasts preference-based reward learning as a human-autonomy team problem, arguing that a teacher who knows the objective can design more efficient training examples than learner-driven query selection. It introduces understanding statements with second-order theory-of-mind to keep the teacher's model of the learner synchronized, showing in simulation that this approach outperforms learner-led selection.
Alexis Gallagher presents a live broadcast on developing robots through conversational interaction with a robot.
Enigma emerges from stealth with a $71M seed round led by Index Ventures and Ribbit Capital to develop intuitive human-robot interfaces. The startup launches a large-scale online experiment allowing anyone to interact with over 100 of its proprietary AI robots, aiming to make robot control as effortless as turning a volume knob.
Meta's AI models are being used by the University of Pittsburgh to advance assistive robotics, helping to restore independence for people with disabilities.
This paper introduces UESF-Bench, a large-scale benchmark for unified embodied human seeking and following, and proposes SeekFollow-VLA, a vision-language-action framework that handles semantic-guided exploration and reliable behavior switching between searching and following.
Keio University developed soft, helium-filled flying robots that can follow users, wake them up, provide reminders, and act as study companions.
Presents a multimodal voice activity projection framework extending audio-only VAP to audio-visual inputs for turn-taking prediction in social robots, using pretrained backbones and low-rank adaptation. Achieves improvements on NoXi and Haru EDR corpora.
This paper evaluates the use of small language models (SLMs) to assist title and abstract screening in systematic reviews of social-physical human-robot interaction (spHRI). While SLMs did not match human performance, they operated locally at high speed and identified additional relevant papers, demonstrating their potential to augment human reviewers for large-scale literature reviews.
Kyber Labs demos a robot hand that uses only the force needed for tasks, allowing safe human interruption without injury.
AGIBOT A3, developed with Peking University's SpikePingPong algorithm and a high-frequency pulse camera, autonomously plays table tennis against humans at BAAI 2026, demonstrating faster vision response and high-speed dynamic control for real-world applications like factory collaboration and service robots.
Brooklyn-based startup Reflex Robotics demonstrated its warehouse robots, which simulate human interaction using non-verbal cues like nodding, shaking head, rolling, and eye tracking. The robots are about to be deployed in restaurants and cafes, where they will handle tasks such as pouring drinks, organizing items, and making burgers.
UBTech is preparing to unveil humanoid robots capable of expressing emotions.
This paper presents MEMOR-E, a mobile quadruped robot with a tablet interface that uses fine-tuned and in-context learning with LLMs to provide personalized, stage-aware cognitive assistance for Alzheimer's patients, including medication reminders and memory interactions, with explainable AI for caregiver oversight.
AheadForm, a Shanghai-based startup, has unveiled a hyper-realistic robotic face featuring silicone skin, embedded pupil cameras, and predictive AI to overcome the uncanny valley and build human trust. Backed by $28.5M in funding, the technology aims to pioneer a new category of physical AI embodiment for entertainment and social interaction.