ST Engineering, Aethon’s Post

Continuous learning in AI-driven systems allows robots to refine their decision-making processes over time. For instance, a surgical robot could learn from past procedures to perform more precise and accurate operations, leading to better patient outcomes.  👉Read about other examples that are Driving Progress and Performance in robotics https://hubs.li/Q02WqPWX0

Robots at Work at CES panel replay I recently had the privilege of moderating an insightful CES panel spotlighting real-world robotics use cases interacting with the public daily. Speakers from pioneering autonomous vehicle, surgical, and AI companies shared key perspectives on safely deploying robots while solving challenges facing consumers and businesses alike. The crucial theme underscoring discussions was earning vital public trust for robotics through rigorous failsafe protocols that prioritize safety. This ensures cutting-edge automation also thoughtfully serves societal needs versus prioritizing progress above ethics.   Self-Driving Cars Must Prove Themselves Safe Before Widespread Adoption Laura Major, CTO of driverless ridesharing firm Motional, noted how robots replacing human drivers can prevent countless accidents. However, the vehicles must first demonstrate capability of handling roads without catastrophic failures. Motional undergoes extensive testing across billions of simulated miles to validate reliability before expanding pilots. “Our goal is improving overall road safety...we can prevent many fatalities happening daily with human drivers,” Major explained, citing flaws like distraction. “But safety is an important part of our development process too.” It underscored how pioneering autonomous technology must put safety first before reforming entrenched mobility norms.   Surgical Robots Excel At Following Physician Instructions With Precision Quantum Surgical CEO Bertin Nahum then outlined surgical robots optimizing patient outcomes by flawlessly executing treatment plans. Whereas even talented surgeons endure occasional human limitations, robots never waver when performing repetitive procedures or precise incisions. “Robotics is going to help physicians perform exactly whichever plan was done,” Nahum said. “Once upon a time, no matter the accuracy in planning, whichever treatment had to be done [manually]." It highlighted robotics removing gaps between physician expertise and execution - improving care quality as robots enable new therapeutic capabilities.   AI Simulation and Generative Models Set to Unlock Robotics Potential Finally, Gerard Andrews of Nvidia discussed leveraging AI to accelerate future robotics breakthroughs. Specifically, he cited using generative models like DALL-E to quickly create realistic 3D simulations for testing robot software, designs, and workflows rather than manual coding. “The intersection of generative AI and robotics will be absolutely transformational,” Andrews predicted, noting gains in development velocity. “Robotics engineers will have a ‘force multiplier’ with generative AI and their ability to run simulations.”

Feature - Robots with skin: what is next for humanoids? Robots are becoming increasingly complex, but a new method of attaching 'skin' promises to put the 'human' into humanoid. Shoji Takeuchi Professor at the The University of Tokyo and GlobalData Plc analyst Martina Raveni to learn more. - https://lnkd.in/dr2DhMAW #robotics #medicalrobotics #humanoids #medtech #medicaldevices

I'm excited to share that our paper, "A Review on the Form and Complexity of Human-Robot Interaction in the Evolution of Autonomous Surgery," has been published in Advanced Intelligent Systems. It's open access, meaning everyone can read it for free! Warm congratulations to Tangyou Liu! It took tremendous effort to bring this idea to its final publication from its initial conception (2.5 years ago!). I'm glad that Tangyou's efforts have finally paid off. Big thank you also goes to the collaborators Jiaole Wang Shing Wong Andrew Razjigaev Susann Beier Shuhua Peng Thanh Nho Do Shuang Song Dewei Chu Chun H Wang Nigel Lovell. Your significant contributions are much appreciated! As robotics and intelligence increasingly integrate into surgery, the pivotal role of human-robot interaction (HRI) in surgical procedures and outcomes becomes evident. However, debate rages over whether increasing robot autonomy will result in less human involvement. Some scholars assert that autonomy will reduce human participation, whereas others contend it will result in more complex interactions. To reveal the role of HRI in the evolution of autonomous surgery, this review systematically explores the HRI of robotic surgery with various levels of autonomy. The HRI is examined from both robotic science and clinical practice perspectives, incorporating relevant case studies. Two key components, intention detection and situation awareness, are especially concerned with a brief description of the interfaces and control strategies they rely on. Additional insights are drawn from analogous technologies in aviation, industrial robotics, and autonomous vehicles. The analysis suggests that HRI complexity tends to increase as the robot transitions from no autonomy to conditional autonomy and is predicted to subsequently decrease with a substantial shift in the interaction form when moving toward full autonomy. It is concluded by highlighting challenges from technical and clinical perspectives and delineating research trends in this rapidly evolving field. For more info, please visit:

Robots are becoming increasingly complex, but a new method of attaching 'skin' promises to put the 'human' into humanoid. An interesting read on Verdict by technology themes reporter Eve Thomas. #humanoids #robotics #roboticsindustry #emergingtechnology https://lnkd.in/erEZB-q8

The intersection of technology and healthcare is advancing at an unprecedented pace, and robotics are at the forefront of this transformation. From improving surgical outcomes to streamlining complex medical tasks, robotics are set to revolutionize the way we approach patient care and medical procedures. This article highlights the transformative potential of robotics in making healthcare more efficient and effective. Read More: https://lnkd.in/gNSnw8Cy #MedicalTechnology #FutureOfHealthcare #Robotics

🤖 Imagine a humanoid torso powered by water, simulating human-like movements with AI precision! 💧 Clone Robotics is pushing the boundaries of robotics by creating the most realistic, flexible, and adaptable robotic body to date. 💡 This water-powered system mimics muscle movements with hydraulics and AI—perfect for industries like healthcare and rehabilitation. Will this be the future of robotics? 🔥 With AI-driven hydraulics, Clone's humanoid torso could change the way we think about machines and human-robot collaboration. But what challenges remain in creating a truly fluid, human-like robot? 🔍 Will the world see fully functional humanoid robots in the coming years? Or is this just the beginning of something even bigger? Click the link to explore the full story and get all the details! ⬇️ https://lnkd.in/gikktHsc 👉 GigaNectar for more insights into the future of technology! #RobotTech #BiomimeticRobots #AIDriven #InnovationInRobotics #CloneRobotics #MedicalTech #HydraulicMuscle #AIRevolution #TechInnovation #RoboticsFuture #HealthcareTech #NextGenRobots

Already out in Early View on Advanced Intelligent Systems and now featureed on #AdvancedScienceNews. Work by Ritu Raman  reports a machine integrated with living tissue that sets the stage for developing the robust, reproducible, and predictive design and manufacturing of the next-generation biohybrid robots. Check it out below Wiley #robotics https://lnkd.in/dsDStw56

From autonomous vacuums to surgical robots, the robotics revolution is redefining life as we know it. My latest article in Towards AI unpacks this sweeping change, its economic challenges, and the imperative to guide this progress toward a future where robots amplify what it means to be human.

Our new paper on collaborative perception is out! "With collaborative perception, multiple robots can share and integrate their sensory data to form a more comprehensive understanding of their environment than any single robot could achieve on its own. " - GPT-4 We also developed a simple open-source tool that shows that robot perception performance can be increased by ~100% with collaboration within the robot fleet. #ai #machinelearning #perception #robotics #autonomousdriving