Sensors for Robotics - Technologies, Markets and Forecasts 2017-2027

Sensors for Robotics - Technologies, Markets and Forecasts 2017-2027

IDTechEX, Date of Publication: Dec 30, 2016, 227 Pages
US$4,975.00
IDT7542

Machine vision, force sensing and sensor fusion: Enabling technologies for collaborative robots, advanced mobile robotics and autonomous driving. The market for robotic sensing will reach over $16.1 billion by 2027

The report focuses on sensor technologies and components in robotics applications that are currently under development and are enjoying increased visibility, investment, and growth. This is mainly due to the capabilities sensors are expected to enable in robotics. Simply put, smarter, sensor-enabled robots that can make decisions based on sensory feedback are expected to have massive societal impact, as such robotic systems will proliferate in many more market segments than current robotic systems address. Vision systems alone will be a market of $5.7 Billion by 2027, force sensing will reach over $6.9 Billion while the multiple sensors in domestic robots will account for $3.6 Billion, representing almost 30% of their value.

The report focuses on:

Visual perception sensors, which will remain a key element in the development and growth of the market for robotic sensors as well as key advances in vision-related hardware such as the development of high speed -low noise CMOS image sensors, active lighting schemes as well as the development of advanced 2D and 3D vision. LIDAR systems and others.

Revenues of visions systems

Sensors for Robotics - Revenues for Vision Systems

Source: Sensors for Robotics - Technologies, Markets and Forecasts 2017-2027

Force sensing which is allowing for improved safety, enabling the roll out of robots that comply with regulatory requirements in limiting forces. This force limiting capability has led to the emergence of robotic systems that can safely work alongside humans.
At the same time force sensing enables gradations in applied forces at the end-effector, hence widening the range of parts that robots can handle. As a result, we are witnessing an expansion of the use of robotic systems in segments that were previously incompatible with existing robotic systems.

End effector force sensing revenues

robotics sensing market revenues

Source: Sensors for Robotics - Technologies, Markets and Forecasts 2017-2027

As a result of the introduction of these new features in robots, increased uptake of robotic systems in new and existing sectors and applications is expected; it is due to improved performance and the introduction of robots with new and expanded capabilities. These include but are not limited to communication capabilities, environmental perception, and sensor-enabled mobility which in turn enable concepts such as collaborative robots, advanced mobile robots and autonomous vehicles. The features of these robots as well as their sensor requirements are described in detail in the report.

The effects of the development of the above key sensor technologies are studied and ten year forecasts are given for sensing systems on robotic applications such as:

  • industrial and collaborative robotics
  • autonomous mobile robotics
  • autonomous vehicles and automated driving
  • robotic drones
  • agricultural robots
  • domestic robots

Overall, the timing factor in the above considerations has been critical; a few key technology developments in recent years aligned in order to lead to the growth of robotic sensing we are experiencing. For instance, massive strides in software development and the creation of learning algorithms for data fusion went hand in hand with significant costs reductions in sensor componentry while achieving high performance. These trends, that are expected to continue, have influenced the underlying assumptions in this report, and have shaped the forecasts within it.

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Sensors for Robotics - Technologies, Markets and Forecasts 2017-2027
TABLE OF CONTENTS

1. EXECUTIVE SUMMARY AND CONCLUSIONS

1.1. Executive summary and conclusions (1) - introduction
1.2. Executive summary and conclusions (2) - drivers for increasing robotic adoption
1.3. Executive summary and conclusions (3) - robotic visual and force sensing
1.4. Executive summary and conclusions (4) - robotic sensing: why now?
1.5. Executive summary and conclusions (4) - robotic sensing
1.6. Executive summary and conclusions (5) - robotic sensing forecasts
1.7. Executive summary and conclusions (6) - robotic sensing
1.8. Executive summary and conclusions (7) - robotic sensing
1.9. Executive summary and conclusions (8) - robotic sensing
1.10. Executive summary and conclusions (9) - robotic sensing
1.11. Executive summary and conclusions (10) - robotic sensing
1.12. Executive summary and conclusions (11) - robotic sensing
1.13. Executive summary and conclusions (12) - robotic sensing

2. INTRODUCTION TO ROBOTIC SENSING

2.1. Introduction to robotic sensing
2.2. Challenges in robotics and robotic sensing (1)
2.3. Challenges in robotics and robotic sensing (2)
2.4. Challenges in robotics and robotic sensing (3)
2.5. Introduction to robotic sensing - definitions (1)
2.6. Introduction to robotic sensing - definitions (2)
2.7. Introduction to robotic sensing - definitions (3)
2.8. Introduction to robotic sensing - definitions (4)

3. COLLABORATIVE ROBOTS

3.1. Industrial robots
3.2. Collaboration - collaborative robot definition
3.3. The force limited robot: a true collaborative robot
3.4. Force limited collaborative robots: features (1)
3.5. Force limited collaborative robots: features (2)
3.6. Force limited collaborative robots - case studies (1)
3.7. Force limited collaborative robots - case studies (2)
3.8. Force limited collaborative robots - case studies (3)
3.9. Force limited collaborative robots - case studies (4)
3.10. Force limited collaborative robots - case studies (5)
3.11. Force limited collaborative robots - case studies (6)
3.12. Cobot comparison
3.13. Force limited robots

4. WAREHOUSE/LOGISTICS ROBOTICS AUTONOMOUS MOBILE ROBOTS (AMRS)

4.1. Mobile robots in warehouse/logistics applications
4.2. KIVA
4.3. ... before KIVA was Amazon
4.4. ... before KIVA was Amazon (2) on the importance of software and hardware
4.5. ... before KIVA was Amazon (3) the wisdom of the crowd
4.6. An expanded definition of collaborative robots?
4.7. Shuttle robots: pricing
4.8. AMRs in retail (1)
4.9. AMRs in retail (2)
4.10. AMRs in retail (3)
4.11. AMRs in specialized applications - medical
4.12. AMRs in specialized applications - medical (2)

5. DOMESTIC ROBOTS

5.1. Domestic robots
5.2. Domestic robots - robotic cleaners
5.3. Domestic robots - robotic lawnmowers
6. AUTONOMOUS VEHICLES: CARS AND DRONES
6.1. Autonomous vehicles and the concept of redundancy in safety
6.2. Sensor fusion as A.I.
6.3. Testing Google's autonomous vehicles
6.4. LIDAR: Cost reduction strategies
6.5. LIDAR: Cost reduction strategies - investment
6.6. Applications in robotics: Robotic autonomous cars
6.7. Applications in robotics: Robotic autonomous cars
6.8. Robotic drones
6.9. LIDAR - Applications in robotics: Robotic drones

7. AGRICULTURAL ROBOTS

7.1. Drivers for automation in agriculture
7.2. Fully autonomous driverless large tractors
7.3. Fully autonomous driverless large tractors
7.4. Autonomous weed killing robots (Lidar navigation)
7.5. Hyperspectral imaging: the future of precision agriculture
7.6. Benefits of using aerial imaging in farming
7.7. Unmanned agriculture drones on the market

8. OPTICAL SENSORS IN ROBOTS - VISION GUIDED ROBOTICS

8.1. Bin picking & vision in industrial robotics
8.2. The need for robotic vision
8.3. Vision Guided Robotics (VGR)
8.4. Vision Guided Robotics (VGR) - Type A & Type B Machine Vision
8.5. Vision Guided Robotics (VGR) - Type B Machine Vision: Stereo cameras
8.6. Vision Guided Robotics (VGR) - Type B Machine Vision
8.7. Vision Guided Robotics (VGR) - Type B Machine Vision
8.8. Vision Guided Robotics (VGR) - Type B Machine Vision
8.9. Vision Guided Robotics (VGR) - Type B Machine Vision
8.10. The players
8.11. Hardware improvements in VGR - Innovation in image sensing (1)
8.12. iniLabs -DVS: Innovation in image sensing (3)
8.13. SNAP Sensor: Innovation in image sensing (2)
8.14. VGR in industrial robotics - forecasts
8.15. VGR forecasts
8.16. VGR in industrial collaborative robotics - forecasts

9. VISION IN MOBILE ROBOTICS AND AUTONOMOUS VEHICLES: THE EMERGENCE OF LIDAR

9.1. Vision in autonomous vehicles and mobile robotics
9.2. LIDAR - an overview
9.3. LIDAR: LIght Detection And Ranging
9.4. LIDAR: Principle of operation
9.5. LIDAR: basic components
9.6. LIDAR or... LIDAR?
9.7. Velodyne Type B LIDAR
9.8. Velodyne Type B LIDAR
9.9. Neptec Opal
9.10. Scanse
9.11. Comparing low cost LIDAR options
9.12. Performance comparison of different LIDARs on the market or in development
9.13. Quanergy
9.14. M8 Specifications
9.15. innoviz
9.16. Leddar Tech solid state LIDAR
9.17. MIT and DARPA: Single chip LIDAR
9.18. Other LIDAR related products: SLAM: Simultaneous localization and mapping
9.19. Other LIDAR related products: Type B Flash LIDAR camera from Advanced Scientific Concepts
9.20. Flash LIDAR: A visualization from ASC - Continental
9.21. Scanning methods for outdoor LIDAR applications
9.22. Phased array - examples
9.23. Phased array - examples (2)
9.24. MEMS mirror scanners (1)
9.25. MEMS mirror scanners (2)
9.26. Toposens - Terabee : complementing LIDAR with ultrasound
9.27. Sonar - Radar - Cameras
9.28. Comparing LIDAR, radar and camera performance
9.29. Vision systems in advanced mobile robotics; logistics, retail and other applications: Forecasts
9.30. Vision systems in advanced mobile robotics; logistics, retail and other applications: Forecasts - market for advanced mobile robots (AMR)
9.31. Vision systems in advanced mobile robotics; logistics, retail and other applications: Forecasts - AMR Units
9.32. Vision systems in advanced mobile robotics; logistics, retail and other applications: Forecasts - total market for vision in AMR
9.33. Vision systems in advanced mobile robotics: Drones forecasts
9.34. Vision systems in mobile robotics: Fully autonomous car forecasts

10. OTHER OPTICAL SENSORS IN ROBOTS - HYPER- AND MULTISPECTRAL IMAGE SENSORS

10.1. Hyperspectral image sensors
10.2. Hyperspectral imaging in other applications
10.3. Hyperspectral imaging sensors on the market
10.4. Common multi-spectral sensors on the market
10.5. GeoVantage
10.6. Headwall hyperspectral cameras
10.7. Hyper and multispectral vision systems in agricultural robots

11. SENSORS IN DOMESTIC ROBOTS

12. FORCE SENSING IN ROBOTICS

12.1. Force sensing in robotics
12.2. EPSON piezoresistive force sensors
12.3. Other force sensors
12.4. End effector force sensing: market forecasts in industrial robots
12.5. End effector force sensing: market forecasts in collaborative robots
12.6. Blue Danube: skins for collaborative robots
12.7. Bosch APAS smart skin
12.8. Carbon Robotics capacitive sensor
12.9. Force sensing approaches for collaborative robots
12.10. Force sensing approaches: series elastic actuators
12.11. Joint-force sensing and force sensing skins: market forecasts in collaborative robotics

13. MARKET FORECASTS

13.1. Vision Systems Forecasts
13.2. Force Sensing Forecast
13.3. Sensors for domestic robots forecast

14. COMPANY PROFILES

14.1. Bionic Robotics
14.2. Carbon Robotics
14.3. DeepField Robotics 
14.4. Fanuc Robotics 
14.5. iniLabs 
14.6. OptoForce Ltd 
14.7. Roboception 
14.8. Universal Robots 
14.9. Velodyne LiDAR

Date of Publication:
Dec 30, 2016
File Format:
PDF via E-mail
Number of Pages:
227 Pages