Latest robotics news
Physical robots, useful engineering and the evidence behind deployment claims.
Feeds refreshed every 15 minutes
PRISM helps robots move better by learning how forces and motion interact (opens in a new tab)
A new neural network component, developed at University of Michigan Engineering, challenges a common assumption in robot learning: that the same general-purpose neural networks used for image recognition are equally suited to controlling physical movement.
Read at Tech Xplore (opens in a new tab)
Latest available edition. A new morning briefing has not been published yet.
Practical briefing: Name the next piece of evidence a robot claim needsPractical task · Background & actionClose briefing
Evergreen practical guidance with linked sources. AI-assisted editorial synthesis; no firsthand testing is claimed.
From demonstration to deployment.
A clear follow-up question is more useful than a general demand for better proof. Today’s practical task is to identify the specific record that would change your interpretation of a robot demonstration, pilot or operational claim.
Start with the limit that matters to the claimed job: task variation, attempted cycles, human intervention, test duration or conditions beyond the demonstration. Keep demonstrated results separate from planned use. Our checklist helps organize reported evidence; it does not establish a safe test procedure or certify a system.
Try this Write the current supported claim, its consequential limit and one requested record. For a selected successful clip, that might be a documented sequence of attempts under stated conditions. Ask the responsible supplier or operator for existing evidence and appropriate assessment. Explain what that record could clarify without predicting the result.
robotics-today.org · Guide originally published
Read the source at robotics-today.org (opens in a new tab)
Based on a reviewed practical guide
Latest analysis
Eka’s force-sensitive robot targets the difficult final moment of a grasp
Eka Robotics combines a force-sensitive gripper with simulation-trained control to handle varied objects. TechCrunch reports adaptable picking demonstrations and industrial pilots; Eka claims more than 95% picking reliability. The important question is whether that contact-sensitive control can sustain useful performance beyond demonstrations and narrowly defined tasks.
Latest news
Page 1 of 51
Ring Launches Ring Robotics With Indoor Ring Drone Cam (opens in a new tab)
Amazon’s home security company Ring is adding an autonomous indoor drone and a wheeled patrol robot for businesses. Both devices run on a navigation system the company calls AI Pilot. On November 10, Ring announced Ring Robotics, a new line of autonomous, mobile security devices…
Read at DroneLife (opens in a new tab)
Robots gain 'muscle memory' for planning their next moves in milliseconds (opens in a new tab)
If "to err is human," you could say robots are superhuman. They're more error-prone than we are, even when tasked with things like home and factory chores, which we might consider easy. One reason for these mistakes is that robots struggle to extract relevant details from the pa…
Read at Tech Xplore (opens in a new tab)
Serve Robotics opens robot delivery network for others to build on (opens in a new tab)
Serve Robotics says its on-demand delivery API allows third parties to develop new delivery services on its fleet of more than 2,000 robots.
Read at The Robot Report (opens in a new tab)
Memories.ai builds standardized egocentric video pipeline (opens in a new tab)
Memories.ai provides standardized egocentric video collection and AI-powered annotation to build training data infrastructure for robotics.
Read at The Robot Report (opens in a new tab)
Can AI agents program industrial robots without training data? Berkeley says yes (opens in a new tab)
UC Berkeley and NVIDIA have released open-source tools for teams of AI coding agents that write, simulate, and refine readable robot programs.
Read at The Robot Report (opens in a new tab)
China's $66 Billion Robot Army Is Made in America (opens in a new tab)
How did the US military help China build a $66 billion robotics giant? And why are American researchers, universities, and even the Pentagon buying Chinese robot dogs from Unitree instead of Boston Dynamics? Unitree went from building affordable robot dogs to challenging the big…
Watch on YouTube (opens in a new tab)Practical guides
Robot demo, pilot or deployment: what evidence should you ask for?
A practical checklist for interpreting robot demonstrations and comparing task capability, human assistance, operating conditions and sustained use.
Sources 30 publishers
Headlines link to the original reporting. Article dates show publication time; the refresh time shows when feeds were last checked.
- OpenAI (opens in a new tab)
- Anthropic (opens in a new tab)
- Google DeepMind (opens in a new tab)
- Meta AI (opens in a new tab)
- xAI (opens in a new tab)
- NVIDIA (opens in a new tab)
- Alibaba Qwen (opens in a new tab)
- DeepSeek (opens in a new tab)
- Mistral AI (opens in a new tab)
- Black Forest Labs (opens in a new tab)
- Meta Engineering (opens in a new tab)
- Meta Newsroom (opens in a new tab)
- Medical Xpress (opens in a new tab)
- Nature: npj Digital Medicine (opens in a new tab)
- Nature: ageing research (opens in a new tab)
- NVIDIA Technical Blog (opens in a new tab)
- AMD Newsroom (company announcements) (opens in a new tab)
- Anastasi In Tech (video reports) (opens in a new tab)
- PRO ROBOTS (video reports) (opens in a new tab)
- IEEE Spectrum (opens in a new tab)
- TechCrunch (opens in a new tab)
- The Robot Report (opens in a new tab)
- Robotics & Automation News (opens in a new tab)
- Automated Warehouse (opens in a new tab)
- MIT News (opens in a new tab)
- Tech Xplore (opens in a new tab)
- ScienceDaily (opens in a new tab)
- New Atlas (opens in a new tab)
- Hackaday (opens in a new tab)
- DroneLife (opens in a new tab)
Some feeds are delayed; saved stories remain available.