How Google Wants to Solve Robotic Grasping by Letting Robots Learn for Themselves (2022)

FAQs

Is it possible for robots to learn on their own? ›

While autonomous robots, like self-driving cars, are already a familiar concept, autonomously learning robots are still just an aspiration. Existing reinforcement-learning algorithms that allow robots to learn movements through trial and error still rely heavily on human intervention.

Does Google work on robotics? ›

In 2013, Google started a pioneering and ostentatious effort to manufacture robots. With time, its target has become self-effacing but with time the technology is also subtly more advanced.

What is it called if a robot teaches itself a new skill? ›

Robot learning is a research field at the intersection of machine learning and robotics. It studies techniques allowing a robot to acquire novel skills or adapt to its environment through learning algorithms.

What major problems are robotics researchers trying to overcome? ›

  • New materials and fabrication schemes. While robots have made significant advancements in recent years, they are still made from bolts, bearings and motors. ...
  • Biohybrid and bioinspired robots. ...
  • Power and energy. ...
  • Robot swarms. ...
  • Navigation and exploration. ...
  • AI for robotics. ...
  • Brain-computer interfaces. ...
  • Social interaction.
Feb 16, 2018

How do robots learn things? ›

Roughly speaking, robots can learn new things in three ways: under complete supervision, under no supervision, or somewhere between the two. Under supervision, robots learn because a human acts directly or indirectly as an instructor and lets the robot know which action is the right one in a given situation.

Can robots learn to be more human? ›

Researchers say that artificial intelligence (AI) is now superior to human intelligence in supervised learning using vast amounts of labeled data to perform specific tasks.

Will Google release a robot? ›

Google is getting back into robotics after its last attempt fizzled out. Google is once again working on robots, The New York Times reported. Google's previous robotics program fizzled out after buying and selling multiple startups.

Is robotics a science? ›

Robotics is an interdisciplinary sector of science and engineering dedicated to the design, construction and use of mechanical robots.

Can robots learn from experience? ›

The ability to learn from experience will likely be a key in enabling robots to help with complex real-world tasks, from assisting the elderly with chores and daily activities, to helping us in offices and hospitals, to performing jobs that are too dangerous or unpleasant for people.

How is machine learning used in robotics? ›

How is Machine Learning Used in Robotics? Basically, machine learning is the process of training an AI model to make it intelligent enough to perform specific tasks or some varied actions. And to feed the ML algorithms, a set of data is used at a large scale to make sure AI models like robotics can perform precisely.

Do robots use supervised learning? ›

Autonomous learning, which is a variant of self-supervised learning involving deep learning and unsupervised methods, has also been applied to robot and control tasks.

What are the 7 biggest challenges in robotics explain any two? ›

Sensitive tasks that should require human supervision could be delegated entirely to robots. Humans will no longer take responsibility for failures. Unemployment and de-skilling of the workforce. AI could erode human freedom.

What are the 3 main challenges in robotics? ›

Three challenges focus on fundamental problems in robotics: developing robot swarms, improving navigation and exploration, and developing artificial intelligence that can “learn how to learn”, and use common sense to make moral and social decisions.

What is the biggest challenge with using robots? ›

Human-Oriented Interaction

One of the major hurdles that both personal and industrial robotics is facing is integrating a human-friendly interaction in all robots. Even after the rapid advancements in this domain, human and machine interaction still feels cold.

Videos

1. Jeannette Bohg "Robotic Grasping and Manipulation"
(Marwa ElDiwiny)
2. Robots Learning to Toss
(Andy Zeng)
3. Jeannette Bohg: Vision, Touch & Sound for Robustness & Generalizability in Robotic Manipulation
(Stanford HAI)
4. GRASP On Robotics: Sangbae Kim - October 9th
(GRASP Lab)
5. Learning hand-eye coordination for robotic grasping
(Peter Pastor)
6. Yunfei Bai - How to Solve Sim2Real for Robot Grasping with GAN
(Kuan Fang)

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