Summary of Advancing Robotics Perception – Secrets to Research and How to Keep it Fun!! | Simon Lucey

00:00:00 - 00:55:00

In this video, Simon Lucey discusses the importance of research in robotics, as well as giving advice on how to stay engaged in research and continue to develop your skills. Lucey also mentions some famous researchers in the field, such as Rodney Brooks, Mitchel Rumba, Takaya Panade, and Peter Corke.

• 00:00:00 Simon Lucey, a professor in the School of Computer Science at the University of Adelaide, will be speaking about the advantages of robotics research. He will discuss challenges faced by researchers, and discuss some of the secrets he has learned throughout his career. He will also introduce zoom, a feature of the presentation software.
• 00:05:00 Simon Lucey, a Principal Scientist at Argo AI, discusses the challenges and opportunities of robotics perception, focusing on the importance of scale and the recent deep learning revolution. He emphasizes that, while robots are increasingly capable of human-like performance, humans don't learn like that, necessitating massive amounts of data. He believes that this bet on scale will eventually pay off, paving the way for even more advanced AI applications.
• 00:10:00 Professor Simon Lucey gives some tips for how to make research in robotics more enjoyable and productive, including avoiding tiredness and staying creative.
• 00:15:00 Simon Lucey, a graduate student at Carnegie Mellon University, gives advice to students about how to research a topic that will have a lasting impact on their careers. He points out that, whereas in the past graduate students could focus on a single topic and have a successful career in robotics, today's graduate students need to be prepared for a career in a variety of fields due to the rapidly-changing nature of technology. He also stresses the importance of networking with other professionals in the field and recommends pursuing a topic that is both theoretically and practically important.
• 00:20:00 In this talk, Simon Lucey advises graduate students on how to balance theoretical and practical research while maintaining impact. He also warns against chasing fads, saying that it is better to focus on questions with a long-term potential for impact.
• 00:25:00 This YouTube video by Simon Lucey covers the importance of having fun while researching robotics, as well as giving advice on how to stay engaged in research and continue to develop your skills. Lucey also mentions some famous researchers in the field, such as Rodney Brooks, Mitchel Rumba, Takaya Panade, and Peter Corke.
• 00:30:00 In this video, Joel and Simon Lucey discuss a new type of neural network called an implicit neural function. Implicit neural functions allow for the reconstruction of complex 3-D scenes from very simple images. This technology is being used by autonomous car companies to improve their mapping skills.
• 00:35:00 In this video, Simon Lucey explains how to train robots using very simple functions, how deep learning has opened up this "amazing trick" no one understands, and how you can use coordinate networks to represent the flow field in a scene.
• 00:40:00 In this video, Simon Lucey discusses advice for aspiring robotics researchers. He recommends getting accepted to graduate school and having an open mind, and recommends focusing on what you enjoy doing more than anything else when doing research. He also mentions that event cameras can be a helpful tool for robotic perception.
• 00:45:00 Simon Lucey discusses the trade-off between speed and intelligence in robotics, and how to find the right questions to focus on in order to make progress. He also mentions the Dynamic Nerf project, which aims to create neural fields that can accommodate more data without sacrificing accuracy.
• 00:50:00 Simon Lucey discusses the benefits of graduate school and the advice he would give to students considering it. He emphasizes the importance of starting your graduate study on the whiteboard, coding your ideas up, and being open to new research questions. He also points out that a Master's degree is often sufficient for many job opportunities in the robotics industry.
• 00:55:00 Simon Lucey spoke about the importance of research in robotics, describing how implicit neural functions can help create more data and open up new directions for traditional AI. He also mentioned the need for engineers to be grounded in both classical and modern robotics in order to solve problems with data that is typically difficult to use for machine learning algorithms.