Why Don’t We Have Better Robots Yet? | Ken Goldberg | TED
Where Are the Robots?
Introduction to Robotics and Expectations
- The speaker expresses a common desire for home robots that can perform chores, questioning why such technology is not more prevalent despite advancements in other areas like satellites and laser beams.
- Acknowledges the existence of real robots but contrasts their capabilities with public expectations, introducing Moravec's paradox as a key concept in robotics.
Understanding Moravec's Paradox
- Moravec's paradox highlights the disparity between tasks easy for humans (like stacking blocks) versus those easy for robots (like lifting heavy objects), emphasizing the challenges faced by robotic systems.
- The speaker shares personal anecdotes about clumsiness, linking it to his research focus on improving robot dexterity.
Hardware Challenges in Robotics
- Discusses different types of robot hands, advocating for simpler designs like parallel jaw grippers due to their reliability and cost-effectiveness.
- Demonstrates how simple grippers can perform complex tasks when operated by humans, showcasing their effectiveness in practical applications.
Software and Uncertainty Issues
- Introduces software challenges stemming from uncertainty in control, perception, and physics that complicate robotic operations.
- Explains how small errors in robot mechanisms can accumulate, leading to difficulties in precise manipulation of objects.
Advances in Sensor Technology
- Highlights LIDAR technology as a breakthrough for creating 3D models of environments but notes limitations with shiny or transparent objects causing inaccuracies.
- Mentions tactile sensors as an emerging technology that captures surface details during contact but acknowledges they are still developing.
Physics Challenges Affecting Robot Performance
- Illustrates unpredictability in object movement due to microscopic surface variations using a bottle-pushing example, stressing the complexity of grasping tasks.
- Compares predictability of asteroid motion with the unpredictability faced by robots when manipulating everyday objects.
Current Trends and Future Directions
- Identifies e-commerce growth as a significant opportunity for robotics, especially highlighted during the pandemic where demand surged for timely package delivery.
Robots in Warehouses and Home Automation
Advances in Robotic Grasping
- The speaker discusses the challenges of using robots in warehouses, noting that previous attempts have not been very successful.
- A method developed by the speaker and students allows a robot to train itself to grasp objects through simulation, leading to the creation of Dex-net.
- Dex-net can reliably pick up various objects it has never encountered before, demonstrating significant progress in robotic manipulation.
Commercial Application: Ambi Robotics
- The team formed a company called Ambi Robotics, which utilizes their algorithms for sorting packages in e-commerce.
- Currently, 80 machines are operational across the U.S., sorting over a million packages weekly.
Challenges with Home Robots
- Despite advancements, home robots still face significant challenges; one major issue is manipulating deformable objects like strings and fruits.
Untangling Knots
- Research involves teaching robots to untangle knots by analyzing cables with cameras and managing slack during manipulation.
- The robot has achieved an 80% success rate when tasked with untangling cables.
Folding Laundry
- Traditional robotic laundry folding methods are slow (3–6 folds per hour), prompting a revisit of this problem for faster solutions.
- Innovations include using two arms for fabric flinging and applying friction to smooth wrinkles while employing techniques like the "two-second fold."
Bagging Challenges
- Manipulating bags poses difficulties due to their varying configurations; humans find it easy but it's complex for robots.
- The robot trains itself on bag manipulation using fluorescent paint and lights, achieving about 50% success in solving this problem.
Moravec's Paradox
- The speaker reflects on Moravec's paradox: tasks easy for humans remain challenging for robots despite technological advances.