Beth Galetti’s Post

Internship Report: CDT Student Dennis Hadjivelichkov reports on his internship at Amazon Robotics in Berlin. As I return to my PhD studies at UCL after a transformative six-month internship at Amazon Robotics in Berlin, I find myself reflecting on the invaluable experiences and lessons gained during this period. I am eager to share insights from my journey and how they have shaped my thinking. During my time at Amazon, I was immersed in a dynamic environment where innovation and collaboration were at the forefront. My role involved developing computer vision algorithms leveraging robot-object interactions. The challenges were both stimulating and rewarding. Working alongside brilliant colleagues, I witnessed first-hand the power of collective intelligence in tackling complex problems. The startup-like atmosphere fostered a culture of creativity and agility, enabling us to iterate and adapt swiftly to evolving demands. This internship experience provided me with a deeper understanding of the importance of leadership principles in driving organizational success. The team’s well-defined values served as guiding beacons, shaping not only our professional conduct but also our approach to problemsolving. These principles, characterized by a customer obsession, working backwards from the goal, and relentless innovation, are invaluable assets that I intend to carry forward in my PhD and future career endeavors. One of the most significant takeaways from my internship is the cultivation of an entrepreneurial mindset. Encouraged to think outside the box and embrace experimentation, I learned to approach challenges with a blend of creativity and pragmatism. This adaptive mindset enabled me to navigate uncertainty and also empowered me to explore new avenues for growth and development. Would I recommend doing an internship at Amazon? Absolutely. As I transition back to academia, I am grateful for the rich experiences and invaluable lessons learned during my internship, and for the opportunity to contribute to cutting-edge robotics. Armed with newfound insights and skills, I am eager to apply them to my research at UCL and beyond. I am confident that the lessons learned and connections made during my time in Berlin will continue to influence and inspire my professional journey. PS. For more information on how Amazon is approaching robotics and robot learning, check out https://lnkd.in/gzdNExj6

Reflecting on a pivotal moment five years ago at Ford Otosan, I'm sharing how a presentation to high school students not only transformed my career path towards autonomous driving and product management but also reaffirmed the incredible impact of staying curious and embracing the endless opportunities for learning and growth. #LifelongLearning #CareerTransformation #Innovation"

While it’s true that the industry has seen ups and downs in terms of both funding and hiring in recent years, there’s never been a more exciting time to be in robotics. Whether it’s established categories like manufacturing and fulfillment or emerging verticals like humanoids and home robotics, things are moving faster than ever. TechCrunch has compiled a list of 81 robotics companies that are still hiring. Do check out these roles if you are in the market looking for similar jobs: https://lnkd.in/game2MZP #techcrunch #robotics #jobopenings

I wanted to take a moment to share some personal news. About a month ago, I made the decision to leave my position at Ford México to pursue my masters in Embedded Control Systems. While it wasn’t an easy choice, I believe it was the right one for me at this time. - Ford Experience: Working at Ford was an incredible journey. I had the privilege of being part of a dynamic team, contributing to exciting projects, and witnessing firsthand the innovation that drives the automotive industry. It truly is a company with a rich history. - Big Data Adventures: A couple aspects I particularly enjoyed during my time at Ford was diving into the world of big data and creating interactive visualizations. Analyzing massive datasets, uncovering insights, and making data-driven decisions—it was both challenging and rewarding. - New Portfolio: Since leaving, I’ve been putting my time to good use. I’m starting a github portfolio where I’ll be sharing my projects, and thoughts related to data science and data visualization, with a spice of aerospace engineering. Here is a small project from my portfolio which explains the main aspects of Weibull Distribution, featuring an aerospace industry example and an interactive visualization to gain a deeper understanding. Feel free to check it out:  https://lnkd.in/eMv9ez8B #NewBeginnings #DataScience #CareerJourney

From wiping up spills to serving up food, robots are being taught to carry out increasingly complicated household tasks. Many such home-bot trainees are learning through imitation; they are programmed to copy the motions that a human physically guides them through. It turns out that robots are excellent mimics. But unless engineers also program them to adjust to every possible bump and nudge, robots don’t necessarily know how to handle these situations, short of starting their task from the top. Now MIT engineers are aiming to give robots a bit of common sense when faced with situations that push them off their trained path. They’ve developed a method that connects robot motion data wi ...

From wiping up spills to serving up food, robots are being taught to carry out increasingly complicated household tasks. Many such home-bot trainees are learning through imitation; they are programmed to copy the motions that a human physically guides them through. It turns out that robots are excellent mimics. But unless engineers also program them to adjust to every possible bump and nudge, robots don’t necessarily know how to handle these situations, short of starting their task from the top. Now MIT engineers are aiming to give robots a bit of common sense when faced with situations that push them off their trained path. They’ve developed a method that connects robot motion data wi ...

Amazon’s use of AI-powered robots is pushing the boundaries of what’s possible in e-commerce. This article highlights the fascinating ways technology is transforming warehouse operations and human-robot collaboration. As someone passionate about robotics and software engineering, it’s exciting to see how these innovations reshape the industry.

Excellent article in the Times around the need for an industrial strategy and the role automation can play. Pleased to see Automate UKs work on supporting accessible robotics apprenticeships acknowledged. https://lnkd.in/ev6xC-iN