What is Athletic Intelligence in robotics?
In the past log time, what we commonly know about collaborative robot applications are pick and place, machine tending, packaging and palletizing, process tasks, finishing tasks, and quality inspection.
However, the recent years have seen the emerging increasingly sophisticated robots from the lab to real work place, and it reflects the future economy's expectation on robotics and how it better fit into world's collaboration with humans.
What is the Athletic Intelligence in robotics?
Beyond those well known basic skills, we are seeing more intelligence from robotics like an athletic who can flexibility and nimbly accomplish more than what we can imagine.
At Boston Dynamics, a industry leader in AI robotics, calls it as 'Athletic Intelligence'.
The short video below shows cases how the robots can be as intelligent and athletic as humans.
https://www.bostondynamics.com/solutions/inspection
Robotics uses a lot of intelligence to navigate the world. It was called this “athletic intelligence”’ as the robot walks, climbs stairs, avoids obstacles, traverses difficult terrain and autonomously follows preset routes without constant input from users. Out-of-the-box, Spot has a very simple understanding of the world to enable it to walk more steadily - i.e. it can identify stairs, body obstacles, edges that might cause it to trip. Applications such as stopping an autonomous mission when a person is nearby or responding to voice commands can be added to the robot using our developer tools and payload ports.
More and more robotic applications are based on secure and reliable cloud based platforms, providing the features you need to run a connected, autonomous robotic fleet.
What are the other use cases in industry?
Mining & Exploration - Inspection, Sensing, Scanning and Detection
Like Boston Dynamics, its spots can do visual inspection and perform detailed inspections with a pan-tilt-zoom (PTZ) camera. With a laser scanner and program routine scanning routes to create digital twins of worksites and identify rework sooner. It can also detect water and steam leaks around plants and recognize equipment with degraded performance in equipment.
Retails - Automation and Shoppers Assistants
What's exciting about AI in health care in foreseeable future is that more uses cases are created. With the accuracy and non-fatigue feature, the intelligent robotics systems can help more with micro-surgery, precise diagnoses by better detecting the diseases' patterns, as well as making remote treatment a possibility like in the battlefield where human is less likely accessible.
Agriculture - Automation & Process Control
Agricultural robotics automate slow, repetitive, and dull tasks for farmers, allowing them to focus on improving their operation. Used for weed control, cloud seeding, pollenation, planting seeds, harvesting, environmental monitoring, and soil analysis, robots are emerging as a key technology in agriculture.
Servicing - Labor force replacement
Robotics can be widely used in simple and repetitive work force to better transform those low paid, low skilled worker positions into more value added ones, which can help services companies save up to 55% of efficiency due to aging workforce and other limitations in labor market.
Home Robotics - Cleaning & Personal Assistance
Over the past decade, there have been several dramatic improvements in cleaning robot capabilities. In fact, a few of the premium products in this market are currently in their 6th generation. OEMs are increasingly looking to adopt AI technologies, especially for vacuum cleaning, floor cleaning, and lawn mowing chores. Below are some currently available cleaning robots.
In future, there are room for reimaging how robots can assist us at home, such as entertainment, personal care, home security and surveillance by leveraging deep sentiments before crime happens.
Finance - RPA (Robotics Process Automation)
The robots that are quickly and quietly becoming an integral part of the finance function are in the form of a technology termed “robotic process automation,” RPA for short.
These robots exist as software and are designed to automate a wide range of processes that tend to be repetitive, labor-intensive, and rule-based. RPA has been described as “a spreadsheet macro on steroids”. RPA can do everything from open email and attachments to collect social media statistics to follow if/then decisions and rules. In finance, that translates into everything from recording journal entries to reconciling general ledger accounts to auditing expense reports, to cite just a few common applications. With the recent machine learning and quantitative mathematics development, we also see robotic trading in capital equity markets.
Source:
1.https://www2.deloitte.com/us/en/pages/finance/articles/cfo-insights-future-smart-robotics
2.https://www.bostondynamics.com/solutions/inspection
3. https://www.forbes.com/sites/forbes-personal-shopper/2021/04/06/best-ellipticals/?sh=1f6fa9b228d0
4. https://www.rocos.io/use-cases
5. https://emerj.com/ai-sector-overviews/artificial-intelligence-home-robots-current-future-use-cases/
However, the recent years have seen the emerging increasingly sophisticated robots from the lab to real work place, and it reflects the future economy's expectation on robotics and how it better fit into world's collaboration with humans.
What is the Athletic Intelligence in robotics?
Beyond those well known basic skills, we are seeing more intelligence from robotics like an athletic who can flexibility and nimbly accomplish more than what we can imagine.
At Boston Dynamics, a industry leader in AI robotics, calls it as 'Athletic Intelligence'.
The short video below shows cases how the robots can be as intelligent and athletic as humans.
https://www.bostondynamics.com/solutions/inspection
Robotics uses a lot of intelligence to navigate the world. It was called this “athletic intelligence”’ as the robot walks, climbs stairs, avoids obstacles, traverses difficult terrain and autonomously follows preset routes without constant input from users. Out-of-the-box, Spot has a very simple understanding of the world to enable it to walk more steadily - i.e. it can identify stairs, body obstacles, edges that might cause it to trip. Applications such as stopping an autonomous mission when a person is nearby or responding to voice commands can be added to the robot using our developer tools and payload ports.
More and more robotic applications are based on secure and reliable cloud based platforms, providing the features you need to run a connected, autonomous robotic fleet.
What are the other use cases in industry?
Mining & Exploration - Inspection, Sensing, Scanning and Detection
Like Boston Dynamics, its spots can do visual inspection and perform detailed inspections with a pan-tilt-zoom (PTZ) camera. With a laser scanner and program routine scanning routes to create digital twins of worksites and identify rework sooner. It can also detect water and steam leaks around plants and recognize equipment with degraded performance in equipment.
Retails - Automation and Shoppers Assistants
Disruptors in retail, robots are changing the way we shop. Robots are being used to direct people to products, process sales, spot mistakes on shelf labels, and monitor stock levels. Robots are enabling retailers to move staff into roles that will help to drive higher, more valuable sales, extending their operation, addressing worker shortages, and reducing costs — all without sacrificing the overall quality of service provided.
Health Care - Hospitality and Surgery Assistants
Currently, robotic technologies more appear in areas that directly affect patient care. They can be used to disinfect patient rooms and operating suites, reducing risks for patients and medical personnel, or in laboratories to take samples and the to transport, analyze, and store them.What's exciting about AI in health care in foreseeable future is that more uses cases are created. With the accuracy and non-fatigue feature, the intelligent robotics systems can help more with micro-surgery, precise diagnoses by better detecting the diseases' patterns, as well as making remote treatment a possibility like in the battlefield where human is less likely accessible.
Agriculture - Automation & Process Control
Agricultural robotics automate slow, repetitive, and dull tasks for farmers, allowing them to focus on improving their operation. Used for weed control, cloud seeding, pollenation, planting seeds, harvesting, environmental monitoring, and soil analysis, robots are emerging as a key technology in agriculture.
Servicing - Labor force replacement
Robotics can be widely used in simple and repetitive work force to better transform those low paid, low skilled worker positions into more value added ones, which can help services companies save up to 55% of efficiency due to aging workforce and other limitations in labor market.
Home Robotics - Cleaning & Personal Assistance
Over the past decade, there have been several dramatic improvements in cleaning robot capabilities. In fact, a few of the premium products in this market are currently in their 6th generation. OEMs are increasingly looking to adopt AI technologies, especially for vacuum cleaning, floor cleaning, and lawn mowing chores. Below are some currently available cleaning robots.
In future, there are room for reimaging how robots can assist us at home, such as entertainment, personal care, home security and surveillance by leveraging deep sentiments before crime happens.
Finance - RPA (Robotics Process Automation)
The robots that are quickly and quietly becoming an integral part of the finance function are in the form of a technology termed “robotic process automation,” RPA for short.
These robots exist as software and are designed to automate a wide range of processes that tend to be repetitive, labor-intensive, and rule-based. RPA has been described as “a spreadsheet macro on steroids”. RPA can do everything from open email and attachments to collect social media statistics to follow if/then decisions and rules. In finance, that translates into everything from recording journal entries to reconciling general ledger accounts to auditing expense reports, to cite just a few common applications. With the recent machine learning and quantitative mathematics development, we also see robotic trading in capital equity markets.
Source:
1.https://www2.deloitte.com/us/en/pages/finance/articles/cfo-insights-future-smart-robotics
2.https://www.bostondynamics.com/solutions/inspection
3. https://www.forbes.com/sites/forbes-personal-shopper/2021/04/06/best-ellipticals/?sh=1f6fa9b228d0
4. https://www.rocos.io/use-cases
5. https://emerj.com/ai-sector-overviews/artificial-intelligence-home-robots-current-future-use-cases/