Symbotic’s Post

🧠✨ Mind-reading AI breakthrough! Scientists at the University of Technology Sydney unveil a non-invasive system that translates brainwaves into written text. Although accuracy is at 40%, recent data hints at exceeding 60%. Imagine the possibilities for speech-impaired individuals and robotics! 🌐🤖 #MindReadingAI #TechInnovation https://buff.ly/489hAZd

🚀 Exploring the Origins of Computing! 🤖 Stumbled upon this fascinating exhibit today! As we continue to push the boundaries of AI and robotics, it's humbling to remember where it all began. "And that is the original processor!" 🧠 From biological to artificial, innovation knows no bounds. Let's keep making history! #AI #Innovation #Technology #Robotics #HumorInTech

1966, Shakey shaked the world. When everything is going about AI. Have you ever wondered about the first AI based mobile robot? Let’s talk about it. Charles Rosen with his team at Stanford Research Institute (SRI) invented Shakey, the world’s first mobile robot. A huge box on the wheels, with a TV camera, an antenna radio link, detectors and bumpers. It could   ↪ Combined camera and sensor data to detect obstacles and navigate.  ↪ Move around, avoiding obstacles, finding optimal paths. ↪ Made decisions based on surroundings and tasks. ↪Recognize and find objects, and move them. ↪Plan steps to complete tasks. Now retired Shakey resides at Computer History Museum in Mountain View, California. Shakey laid the foundation of today’s advanced robotics and AI. Comment, Share and Repost. #ShakeyTheRobot #AI #Robotics #ArtificialIntelligence #TechHistory #Innovation #TechnologyEvolution

ICYMI - Hear how #generativeAI is taking automated common-sense reasoning, task planning, and perception to a new level in #robotics. Watch our #GTC24 session with Vincent Vanhoucke, Sr. Director of Robotics, Google DeepMind, now on our YouTube channel. https://nvda.ws/3wqqhke

TossingBot: Learning to Throw Arbitrary Objects Researchers have trained a robot to throw objects using visual observations and trial and error, overcoming challenges posed by varied object poses and properties. By combining simulation and deep learning, the system achieves accuracy and generalization for new objects and target locations. This technology might find applications in sorting rubbish or kitting non-sensitive parts, allowing robots to rapidly place objects beyond their kinematic range in pick-and-place scenarios. Thoughts ⁉️ #robotics #simulation #gripper #research #cobots Via: Andy Zeng from Princeton University Inspired by: Daniel Kuepper

TossingBot: Learning to Throw Arbitrary Objects Researchers have trained a robot to throw objects using visual observations and trial and error, overcoming challenges posed by varied object poses and properties. By combining simulation and deep learning, the system achieves accuracy and generalization for new objects and target locations. This technology might find applications in sorting rubbish or kitting non-sensitive parts, allowing robots to rapidly place objects beyond their kinematic range in pick-and-place scenarios. Thoughts ⁉️ #robotics #simulation #gripper #research #cobots Via: Andy Zeng from Princeton University Inspired by: Daniel Kuepper

Integrating the TossingBot technology into a business network https://t.me/theunityhub can provide several benefits: Efficiency: TossingBot enables robots to handle arbitrary objects with accuracy and generalization, streamlining sorting and kitting processes in various industries. By efficiently placing objects beyond their kinematic range, robots can optimize pick-and-place scenarios, enhancing overall operational efficiency. Flexibility: The ability of TossingBot to learn from visual observations and trial and error allows robots to adapt to diverse object poses and properties. This flexibility enables robots to handle a wide range of objects without the need for extensive reprogramming, facilitating flexible and adaptable automation solutions.

Exploring the transformative synergy between AI and robotics unveils boundless opportunities. Large Language Models (LLMs) catalyze this evolution, revolutionizing how machines comprehend and interact with the world. My latest post delves into the intricate interplay, illustrating how LLMs empower robots with unprecedented cognitive capabilities. From intricate problem-solving to nuanced communication, LLM-infused robotics herald a new era of innovation. As a thought leader in the AI realm, I foresee LLM-driven robotics shaping industries and daily life, propelling us towards a future where machines are not just tools but invaluable collaborators. #GenerativeAI #FutureTech #SuperSmartDevices #GlobalTechnology #OperatorCollaboaration #

NVIDIA's new announcement - GR00T project for humanoid robots!🤖 GR00T - an AI platform designed specifically for humanoid robots. It's essentially a foundation model that acts as the robot's "brain", aiming to transform how humanoid robots learn in both simulated environments and the real world. Capabilities: - Learns from a small amount of human demonstration - Able to generate robot movements by analyzing video data. - Takes instructions and past interactions into account to determine actions. _____________ I share my learning journey here. Join me and let's grow together. For more on AI and learning materials, please check my previous posts. Alex Wang

If you think that Dyson is only manufacturing hair dryers and vacuum cleaners, think again. A sneak peak at the Dyson Robot Learning Labs (1 of 12). Incumbents innovating to stay ahead of the curve. AI/LLM and Robotics advancements will be significant due to open research & open source. #ai #genai #llm #ml #deeplearning #robotics #roboticsengineering #manufacturing #oss #opensource