Astech’s Post

If you want to learn more about the types of laboratory robots that are available and what types of applications they are perfect for, read Astech's latest article!

Anyone who has worked in a lab will be familiar with the repetitive, manual nature of many experiments. In this article, we explore the evolving role of robotics in lab automation, freeing up time for scientists to focus on interpreting what their results mean and addressing the bigger scientific questions. #labautomation #robotics #laboratory

Anyone who has worked in a lab will be familiar with the repetitive, manual nature of many experiments. In this article, we explore the evolving role of robotics in lab automation, freeing up time for scientists to focus on interpreting what their results mean and addressing the bigger scientific questions. #labautomation #robotics #laboratory

“Laboratories have come to realize the need for automation and are recognizing the value of strategically adopting laboratory robotics." In this article, we explore the evolving role of robotics in lab automation, from repetitive tasks to dynamic workflows. Featuring: Shaival D., Thermo Fisher Scientific #labautomation #robotics #laboratory

The course code "46: Future Robots" doesn't provide specific information about the course content or the institution offering it. Course codes can vary widely between institutions, and without additional context, it's challenging to provide detailed information. If you are interested in a course titled "Future Robots," here are some general topics that might be covered: ### Possible Topics for a Course on Future Robots: 1. **Introduction to Robotics:**   - Overview of the field of robotics.   - Historical developments and milestones. 2. **Emerging Technologies:**   - Exploration of cutting-edge technologies in robotics.   - Trends in robotics research and development. 3. **Robotics in Industry:**   - Applications of robots in various industries.   - Impact of robotics on manufacturing, healthcare, and other sectors. 4. **Artificial Intelligence and Robotics:**   - Integration of AI technologies in robotic systems.   - The role of machine learning in robotic decision-making. 5. **Human-Robot Interaction:**   - Understanding the social and ethical aspects of human-robot interaction.   - Designing robots for collaboration with humans. 6. **Autonomous Systems:**   - Overview of autonomous robots and systems.   - Challenges and advancements in autonomy. 7. **Robotics in Healthcare:**   - Applications of robots in medical fields.   - Surgical robots, rehabilitation robotics, and healthcare assistance. 8. **Robotic Platforms:**   - Types of robotic platforms (wheeled, legged, aerial, etc.).   - Considerations in selecting the right platform for specific tasks. 9. **Robotics Research and Innovation:**   - Current research areas in robotics.   - Robotics competitions and collaborative projects. 10. **Ethical and Social Implications:**   - Discussions on ethical considerations in robotics.   - Societal impact and potential consequences of widespread robot adoption. If you have more details about the specific institution or platform offering the course "46: Future Robots," you may be able to find a detailed course description, syllabus, or contact information for further inquiries. Additionally, you can check the course catalog of the relevant educational institution or the platform hosting the course for comprehensive information.

Exploring the frontiers of miniaturization: Tiny batteries are now capable of powering robots the size of cells. This significant advancement holds promise for numerous applications, including targeted medical treatments and diagnostics. Read about how this technology is shaping the future of robotics and healthcare: https://lnkd.in/gRsjqeeG #EmergingTech #HealthcareInnovation #Robotics

Ultraviolet Pramod Panda #robotic #robot #robotics Read Robotics Brief and change the way you look for robotics information https://lnkd.in/dyjcDwCm

Scaling down soft robots: Transitioning from centimeters to millimeters Dr Jialei Shi has created miniaturised soft manipulators featuring reinforced actuation chambers and a free inner lumen at the sub-centimeter scale (i.e., less than 10 mm). This work is the outcome of a collaboration with Prof. Arianna Menciassi from Scuola Superiore Sant'Anna, Prof. Kaspar Althoefer from Queen Mary University of London and Dr Sara Adela Abad G. and myself from UCL Mechanical Engineering and the UCL Robotics Institute. Many thanks for the amazing support & collaboration. The innovation involves the serial connection of two robotic segments to improve both dexterity & flexibility. The findings of this research significantly advances the miniaturisation of soft manipulators with reinforced actuation chambers and a free inner lumen, making them well-suited for various applications, e.g., in minimally invasive surgical (MIS) procedures employing sub-12 mm diameter trocar ports. The manuscript related to this video will be presented at the IEEE International Conference on Soft Robotics (RoboSoft) 2024, which can be accessed here: https://lnkd.in/egQe5RYf Dr Jialei Shi has fundamentally contributed to the design, modelling, and characterisation of soft manipulators, in particular, his contributions are published as part of the following papers: J. Shi et al., Position and Orientation Control for Hyper-elastic Multi-segment Continuum Robots, IEEE/ASME Transactions on Mechatronics, 2023. https://lnkd.in/gB8epYj5 J. Shi et al., Stiffness modelling and analysis of soft fluidic-driven robots using Lie theory, International Journal of Robotics Research, 2023. https://lnkd.in/gyTCd5NZ J. Shi et al., Characterisation and control platform for pneumatically driven soft robots: Design and applications, IEEE International Conference on Soft Robotics (RoboSoft), 2023. https://lnkd.in/e4bBSV_G J. Shi et al., Design and Characterisation of Cross-sectional Geometries for Soft Robotic Manipulators with Fibre-reinforced Chambers, IEEE International Conference on Soft Robotics (RoboSoft), 2022. https://lnkd.in/eAHQgdZC J. Shi et al., Screw theory-based stiffness analysis for a fluidic-driven soft robotic manipulator, IEEE International Conference on Robotics and Automation (ICRA), 2021. https://lnkd.in/dhNi6FP This work is supported by The Academy of Medical Sciences, the Engineering and Physical Sciences Research Council (EPSRC), the Royal Academy of Engineering, the UCL Dean's Prize, UCL Mechanical Engineering, and the China Scholarship Council.

Self-assembling and disassembling swarm molecular robots via DNA molecular controller: Researchers have succeeded in developing a DNA-based molecular controller. Crucially, this controller enables the autonomous assembly and disassembly of molecular robots, as opposed to manually directing it. #ArtificialIntelligence #MachineLearning #DataScience

How can existing robot systems be replaced with foundation models? Check out our new survey paper on the practical applications of foundation models for robotics! https://lnkd.in/gVJEXhrb Abstract: Recent developments in foundation models, like Large Language Models (LLMs) and Vision-Language Models (VLMs), trained on extensive data, facilitate flexible application across different tasks and modalities. Their impact spans various fields, including healthcare, education, and robotics. This paper provides an overview of the practical application of foundation models in real-world robotics, with a primary emphasis on the replacement of specific components within existing robot systems. The summary encompasses the perspective of input-output relationships in foundation models, as well as their role in perception, motion planning, and control within the field of robotics. This paper concludes with a discussion of future challenges and implications for practical robot applications. This survey paper will appear in the special issue on real-world robot applications of foundation models in Advanced Robotics journal. The deadline for submissions to the special issue is February 29th, so we encourage your contributions.  https://lnkd.in/gVN6m9j4 Kento Kawaharazuka and Tatsuya Matsushima equally contributed to this work. We would like to express our gratitude for the collaboration with Andrew Gambardella, Jiaxian Guo, Chris Paxton, and Andy Zeng.