Observations from CRAV.AI 2019 Conference on Collaborative Robotics and AI
/I had the opportunity to attend CRAV.ai 2019 in San Jose CA and present SwRI's work on collaborative robots; this work described how we built a sophisticated collaborative robotics application where various tasks were taught to a robot arm by way of human demonstration. One highlight of this application is that it leveraged low-cost sensors and open-source software frameworks such as ROS, MoveIt, AruCo, Ceres, etc.
The presentation was very well received, and we hope it'll lead to opportunities to further that work and continue to do research in that space.
Furthermore, there were a great deal of interesting presentations that explored innovative ways to make robots collaborate and empower human workers in the various industries where the inherent adaptability and dexterity of humans remains irreplaceable.
Human Augmentation of Robots for the Automation Age (SARCOS):
Described the following challenges in manufacturing:
Projected labor shortages in the US and many other industrialized nations in the next decade will have a negative impact on the economy in the trillions of dollars.
Occupational injuries incur an annual cost of \$100 billion in the US
Complete automation isn’t the solution to the labor shortage challenges ahead
Humans will continue to play a role in manufacturing due to the unstructured and unpredictable nature of very many tasks for which automation falls off short.
SARCOS showed its GUARDIAN XO powered exoskeleton which a human can operate in unstructured environments in order to carry out a diverse set of tasks.
The suit provides the human worker with added strength and endurance, reduces the risk of injuries and enhances productivity.
How Robot Motion Planning is setting Robots Free (Collaborative Robotics):
- Interesting approach to multi robot motion planning using precomputed swept volumes
How AI, Robotics, Vision, and Industry 4.0 Will Revolutionize manufacturing (Canon USA)
Great summary of past technological revolutions
Mechanization, steam power, weaving loom (Industry 1.0)
Mass production, assembly line, electrical energy (Industry 2.0)
Automation, computers, electronics (Industry 3.0)
Industry 4.0 forecast
Increased efficiency through robot/human collaboration
The concept of the Smart Factory (highly digitized and interconnected production)
Large scale data anaylysis
Lights Out Manufacturing
Advanced sensing technologies that allows robots and machines to operate in the dark
If implemented correctly could maximize efficiency and profitability.
Not a common approach in factories but its viable given current technologies.
The Role of AI
Predictive maintenance would eliminate the need for predetermined schedules
Through machine learning and data collection, systems could adapt to changes or function with fewer interruptions
Increase the remaining useful life of machinery
Volumetric Technologies for Future Sports Experiences (Intel Sports)
The role of advanced technologies in today’s sports
An array of cameras placed around the stadium allows creating a virtual camera view at any desired location
Broadcast Enhancements allow creating a narrative or facilitate advertisement
Automated virtual camera movement allows following players, follow ball, predict best camera position, etc.
Used by various professional tournaments and leagues
Volumetric video
Can create rich, compelling and immersive media experience.
Combined with VR headsets would provide a fundamentally new way to experience sports
It was a pleasure to be part of such an interesting event, and we look forward to both contributing and working with others to advance robotics, in particular where collaboration is a key element.