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Mori is a cute, mushroom-shaped home robot designed as decorative companionship rather than utility, part of an early effort to make camera-equipped robots socially acceptable in homes.
MIT Tech Review reports on a robotic rehabilitation system that uses generative AI and real-time force feedback to learn from physical therapists and deliver personalized stroke therapy, aiming to extend therapists' reach rather than replace them.
Dynamic Creatures unveils Hugo, a prototype human companion robot aimed at bringing top-tier robotics into entertainment and everyday human settings rather than factories, reacting to faces, voices and movement.
TechCrunch reports on humans' innate tendency to treat AI and robots as sentient, highlighting Sherry Turkle's book "Artificial Intimacy" and MIT research into how people anthropomorphize chatbots and Unitree humanoid robots — and whether that emotional reliance is healthy.
Data suggests that while teens readily confide in AI chatbots, that comfort does not automatically translate into trust in physical robots, with results so far mixed on how young people will interact with embodied AI.
CoDance 提出一个从单个双人舞蹈视频中学习反应式、柔顺的人机交互框架，通过多连杆柔顺性增强将运动学演示转化为力感知训练数据，使人形机器人能在物理演示中与人类伙伴完成持续双手舞蹈并灵活调整步态。
The paper introduces GAVA, a framework that arbitrates whether an embodied agent should accept, reject, inspect the world, or ask for clarification when given a user correction, evaluated in text-only ALFWorld with training-derived object-location priors that reduce interaction and joint cost against uniform baselines.
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.