Robot Operations Group的动态

Day 28/28 "becoming a roboticist" with Dr. John Vial: It's a wrap or maybe it is just the beginning. For the last day of this challenge I managed to command the Turtlebot3 to follow a square trajectory using a simple PD controller that reads the odometry topic for feedback. For some reason when the commanded linear velocity goes from 0.0 to any other value, the robot rotates slightly in the simulation, which is of course not supposed to happen. Thus, the result is not perfect but it is good enough for me as my first controller for a simulated mobile robot in ROS. It has been a very rewarding process throughout the last 5 weeks. Consistency is key in achieving any valuable goal, such as finishing this course was to me, and it was constantly emphasized by Dr. John Vial that we should work every day on it. I wanna thank him for the well structured, concise and useful content, for the very practical perspective given to the course, and above all for his commitment with the participants, providing support constantly. An additional benefit of this course was the growth of my network thanks to his emphasis on sharing our work online. I enjoyed and learned a lot, but even better than that is the fact that I ended up with a new habit acquired: work one hour a day on my skills as a roboticist.

Last year, Opentrons Labworks Inc. announced OpentronsAI and set out to revolutionize and accelerate the use of laboratory robotics. That vision is now becoming a reality. With the continued acceleration and adoption of AI in experimental design, the bottleneck is quickly becoming experiment execution. AI will drive tremendous demand for laboratory robotics like the Opentrons Flex, and AI enablement on these platforms will soon be table stakes. While some of my counterparts may still advocate for designing robotic protocols using traditional, graphic tools or proprietary, closed, and overly complex solutions, I firmly believe those days are numbered. At Opentrons, we are investing in the future—a seamless software ecosystem paired with intelligent hardware and closely coupled with AI tools. This synergy will enable experimental designs to flow directly into robotic language, dramatically accelerating the pace of science. We are looking forward to engaging with our community next week at #SLAS2025 to share our progress on OpentronsAI.

?? ?????? ???? ???????????? ?????? ?????????? ???????????????????? ?????? ???????? ?????? Thinking about automating your lab processes? The benefits are clear: ? ???????? ???????? by eliminating repetitive manual tasks? ? ???????????? ???????????? for more reliable results? ? ?????????? ???????????????????? to meet increasing demands But choosing the right solution requires careful consideration of your ????????????, ????????????????, ??????????????????, and ???????????????????? ??????????. Join ?????????? ??????????, Product Manager for Opentrons Labworks Inc. Robotics, in this insightful on-demand webinar to explore: ? Key factors to consider when automating your lab? ? Real-world case studies of successful automation strategies? ? A side-by-side comparison of automation solutions ?? Watch the webinar here: https://lnkd.in/gcYrVmwr As the European provider of Opentrons products, including the ???????? and ????-??, we’re here to help you find the right solution for your lab. Reach out if you’d like to discuss how these tools could work for you! ?? Let’s make lab automation simple.

A few days ago, I submitted an article to a journal for review. The current version of the article, titled "Analysis of Robotic System Models Through Property Inheritance from Petri Net Meta-models," is available on Arxiv. I encourage anyone interested in Petri nets, the analysis of properties of robotic systems, and my recent research to read this article. https://lnkd.in/gGv484wY

“Trust and Dependence on Robotic Decision Support” has been published in IEEE Transactions on Robotics! Early access link here: https://lnkd.in/eMbcEQ-h. Bravo to Manisha Natarajan on her strong experimental work to inform how we design for appropriate trust in robotic systems.

Happy 2025 from the Human-Machine Interaction and Innovation Lab (HMI^2)! If you need assistance to get ready in the morning, we have a robotic solution for you! Read our recent paper "Are you Ready? an Intelligent Robotic Assistant for Instrumental Activities of Daily Living", which is published at the 2024 Eighth IEEE International Conference on Robotic Computing (IRC)! The credit goes to Matt T., our recent graduate from Santa Clara University School of Engineering! If you are interested, read the paper: https://lnkd.in/g346Epch. #robotics #assistive #robots

A quick preview of how to live with robot from #techsauceglobalsummit.

A quick preview of how to live with robot from #techsauceglobalsummit.

Seven segment collaborative robot. Safe. Efficient. Easy to operate and program.

Sign up to attend our tutorial at ICRA 2024 on May 17:?Cloud and Fog Robotics: A Hands-on Tutorial with ROS2 and FogROS2! Dive into #CloudRobotics. Explore cutting-edge #ROS2 tools. Get hands-on with #FogROS2 & #CloudGripper. This tutorial will be led by academic researchers & industry leaders. Please sign up and see more information on our website?here: https://lnkd.in/gDcUPZMk Abstract Cloud and fog robotics empower resource-limited robots to execute computationally intensive tasks like deep learning. This tutorial covers cutting-edge methods and applications, incorporating insights from academia researchers and industry experts. It presents a full hands-on experience for both those who want to develop their first cloud robotics application and experienced practitioners interested in discussing the usability challenges of the field. Organizers Kaiyuan Chen (University of California, Berkeley) (Primary Contact) Jeffrey Ichnowski Ph.D. (Carnegie Mellon University) Simeon Oluwafunmilore Adebola (University of California, Berkeley) Trinity Chung (University of California, Berkeley) Florian T. Pokorny (KTH Royal Institute of Technology) John Kubiatowicz (University of California, Berkeley) Ken Goldberg (University of California, Berkeley) #ICRA2024 #ROS2 #CloudRobotics #FogROS2