Dustbot

Last updated
Dustbot
Inception2009
Website http://www.dustbot.org/   OOjs UI icon edit-ltr-progressive.svg

Dustbot was a prototype robot that collected garbage from homes and streets. [1] It could be summoned by phone call or SMS, and used GPS to automatically make its way to the customer, collect the rubbish, and take it to a dustbin. In addition, the Dustbots carried environmental sensors to monitor the pollution levels over, for example, a pedestrian area. Prototypes were tested in Italy, in Sweden, in Korea and Japan. Launch was planned in 2009, but the last reference in its webpage dates from 2011. The Dustbot project was funded by the European Commission and it never launched as a commercial product. [2]

Contents

Technical

Dustbot uses different localisation and uses GPS navigation [3] combined with pre-loaded maps. [4] It uses a gyroscope to keep it upright, and has ultrasonic, infrared and laser sensors to avoid collisions with static and dynamic obstacles. [3]

It is able to monitor pollution through a number of air quality sensors, [4] [5] and can warn if the levels are too high. [6] This is especially important in the case of gases that humans cannot sense or when long-term exposure to slightly increased concentrations needs to be verified. [7] The distribution of gases is modelled using statistical methods. [8] [9]

Two DustCart robots were deployed in the village of Peccioli, Tuscany, from June 15, 2010, to August 7, 2010, providing "door to door separate waste collection on demand". The system was found to be easy to use, providing satisfactory service and increasing recycling. Its main weaknesses were "slow service/traffic problems (and) low bin capacity", and also the existence of "barriers to entry", according to a report by Nicola Canelli presented during ICT 2010 Conference Session, held in Bruxelles, September 27, 2010. [10] As of November 10, 2017, the project seems to have been ended; still, the Dustbot homepage is online to this day, the last "news" update being apparently done in 2011. There is also a reference to the project in a presentation by Paolo Dario at the International Workshop on Autonomics and Legal Implications (Berlin, November 2, 2012). [11]

See also

Related Research Articles

<span class="mw-page-title-main">Robot</span> Machine capable of carrying out a complex series of actions automatically

A robot is a machine—especially one programmable by a computer—capable of carrying out a complex series of actions automatically. A robot can be guided by an external control device, or the control may be embedded within. Robots may be constructed to evoke human form, but most robots are task-performing machines, designed with an emphasis on stark functionality, rather than expressive aesthetics.

An autonomous robot is a robot that acts without recourse to human control. The first autonomous robots environment were known as Elmer and Elsie, which were constructed in the late 1940s by W. Grey Walter. They were the first robots in history that were programmed to "think" the way biological brains do and meant to have free will. Elmer and Elsie were often labeled as tortoises because of how they were shaped and the manner in which they moved. They were capable of phototaxis which is the movement that occurs in response to light stimulus.

<span class="mw-page-title-main">Precision agriculture</span> Farming management strategy

Precision agriculture (PA) is a farming management strategy based on observing, measuring and responding to temporal and spatial variability to improve agricultural production sustainability. It is used in both crop and livestock production. Precision agriculture often employs technologies to automate agricultural operations, improving their diagnosis, decision-making or performing. First conceptual work on PA and practical applications go back in the late 1980s. The goal of precision agriculture research is to define a decision support system (DSS) for whole farm management with the goal of optimizing returns on inputs while preserving resources.

<span class="mw-page-title-main">Home automation</span> Building automation for a home

Home automation or domotics is building automation for a home. A home automation system will monitor and/or control home attributes such as lighting, climate, entertainment systems, and appliances. It may also include home security such as access control and alarm systems.

<span class="mw-page-title-main">Roomba</span> Series of autonomous robotic vacuum cleaners sold by iRobot

Roomba is a series of autonomous robotic vacuum cleaners made by the company iRobot. Introduced in September 2002, they have a set of sensors that enable them to navigate the floor area of a home. These sensors can detect the presence of obstacles, particularly dirty spots on the floor, and steep drops.

iRobot American technology company that produces consumer robots

iRobot Corporation is an American technology company that designs and builds consumer robots. It was founded in 1990 by three members of MIT's Artificial Intelligence Lab, who designed robots for space exploration and military defense. The company's products include a range of autonomous home vacuum cleaners (Roomba), floor moppers (Braava), and other autonomous cleaning devices.

Wireless sensor networks (WSNs) refer to networks of spatially dispersed and dedicated sensors that monitor and record the physical conditions of the environment and forward the collected data to a central location. WSNs can measure environmental conditions such as temperature, sound, pollution levels, humidity and wind.

<span class="mw-page-title-main">Medical robot</span> Robots used for medical purposes

A medical robot is a robot used in the medical sciences. They include surgical robots. These are in most telemanipulators, which use the surgeon's activators on one side to control the "effector" on the other side.

<span class="mw-page-title-main">Kongsberg Maritime</span> Norwegian technology company

Kongsberg Maritime (KM) is a Norwegian technology enterprise within the Kongsberg Gruppen (KOG). Kongsberg Maritime deliver systems for positioning, surveying, navigation, and automation to merchant vessels and offshore installations. Their most well known products exist within dynamic positioning systems, marine automation and surveillance systems, process automation, satellite navigation, and hydroacoustics.

<span class="mw-page-title-main">Robot navigation</span> Robots ability to navigate

Robot localization denotes the robot's ability to establish its own position and orientation within the frame of reference. Path planning is effectively an extension of localisation, in that it requires the determination of the robot's current position and a position of a goal location, both within the same frame of reference or coordinates. Map building can be in the shape of a metric map or any notation describing locations in the robot frame of reference.

A cyber-physicalsystem (CPS) or intelligent system is a computer system in which a mechanism is controlled or monitored by computer-based algorithms. In cyber-physical systems, physical and software components are deeply intertwined, able to operate on different spatial and temporal scales, exhibit multiple and distinct behavioral modalities, and interact with each other in ways that change with context. CPS involves transdisciplinary approaches, merging theory of cybernetics, mechatronics, design and process science. The process control is often referred to as embedded systems. In embedded systems, the emphasis tends to be more on the computational elements, and less on an intense link between the computational and physical elements. CPS is also similar to the Internet of Things (IoT), sharing the same basic architecture; nevertheless, CPS presents a higher combination and coordination between physical and computational elements.

Domestic robots can vary widely in their capabilities and tasks. Sensors include: cliff or stair sensors, motion sensors, ultrasonic object sensors, dirt sensors, IR sensors, and more. Intelligence varies also. Some have none while others can map out their environment and maneuver using complex algorithms.

<span class="mw-page-title-main">Robotics</span> Design, construction, use, and application of robots

Robotics is an interdisciplinary branch of electronics and communication, computer science and engineering. Robotics involves the design, construction, operation, and use of robots. The goal of robotics is to design machines that can help and assist humans. Robotics integrates fields of mechanical engineering, electrical engineering, information engineering, mechatronics engineering, electronics, biomedical engineering, computer engineering, control systems engineering, software engineering, mathematics, etc.

<span class="mw-page-title-main">Robotic vacuum cleaner</span> Autonomous vacuum floor cleaning system

A robotic vacuum cleaner, sometimes called a robovac or a roomba as a generic trademark, is an autonomous robotic vacuum cleaner which has a limited vacuum floor cleaning system combined with sensors and robotic drives with programmable controllers and cleaning routines. Early designs included manual operation via remote control and a "self-drive" mode which allowed the machine to clean autonomously.

Networked Robotics Corporation is an American scientific automation company that designs and manufactures electronic devices that monitor scientific instruments, scientific processes, and environmental conditions via the internet.

Dexter Industries is a company that designs robots for education, research, and personal use. The company makes several products that expand the LEGO Mindstorms, Raspberry Pi, and Arduino prototype system.

<span class="mw-page-title-main">Domestic robot</span> Type of service robot

A domestic robot is a type of service robot, an autonomous robot that is primarily used for household chores, but may also be used for education, entertainment or therapy. While most domestic robots are simplistic, some are connected to Wi-Fi home networks or smart environments and are autonomous to a high degree. There were an estimated 16.3 million service robots in 2018.

<span class="mw-page-title-main">Air pollution measurement</span>

Air pollution measurement is the process of collecting and measuring the components of air pollution, notably gases and particulates. The earliest devices used to measure pollution include rain gauges, Ringelmann charts for measuring smoke, and simple soot and dust collectors known as deposit gauges. Modern air pollution measurement is largely automated and carried out using many different devices and techniques. These range from simple absorbent test tubes known as diffusion tubes through to highly sophisticated chemical and physical sensors that give almost real-time pollution measurements, which are used to generate air quality indexes.

References

  1. "Tomy Dustbot: The original floor cleaning robot". TechCrunch. 22 January 2009. Archived from the original on 2022-02-14. Retrieved 2022-02-14.
  2. "Dustbot - a robot designed to clean up our streets (w/video)". www.nanowerk.com. Archived from the original on 2022-02-14. Retrieved 2022-02-14.
  3. 1 2 Duncan Kennedy (29 May 2009). "Dustbot the street cleaning robot". BBC World News. Archived from the original on 16 October 2019. Retrieved 8 June 2009.
  4. 1 2 Emma Woollacott (29 May 2009). "Robot garbage cart set to hit Italian streets". TG Daily. Archived from the original on 2 June 2009. Retrieved 8 June 2009.
  5. Gabriele Ferri; Alessio Mondini; Alessandro Manzi; Barbara Mazzolai; Cecilia Laschi; Virgilio Mattoli; Matteo Reggente; Todor Stoyanov; Achim J. Lilienthal; Marco Lettere; Paolo Dario (May 2010). "DustCart, a Mobile Robot for Urban Environments: Experiments of Pollution Monitoring and Mapping during Autonomous Navigation in Urban Scenarios". Proceedings of International Conference on Robotics and Automation (ICRA 2010) Workshop on Networked and Mobile Robot Olfaction in Natural, Dynamic Environments. Archived from the original on 2016-03-03.
  6. David Jonasson (23 May 2009). "Robots to sweep the streets". Stockholm News. Archived from the original on 27 May 2009. Retrieved 8 June 2009.
  7. Achim J. Lilienthal; Amy Loutfi; Tom Duckett (October 1, 2006). "Airborne Chemical Sensing with Mobile Robots". Archived from the original on April 13, 2009.
  8. Achim J. Lilienthal; Tom Duckett (August 31, 2004). "Building Gas Concentration Gridmaps with a Mobile Robot". Archived from the original on April 11, 2009.
  9. Cyrill Stachniss; Christian Plagemann; Achim J. Lilienthal (April 2009). "Learning Gas Distribution Models Using Sparse Gaussian Process Mixtures". Archived from the original on 2010-10-24.
  10. "Shaping Europe's digital future | Shaping Europe's digital future". Archived from the original on 2019-10-16. Retrieved 2014-06-02.
  11. "Autonomous Systems and Robot Companions" (PDF). www.jura.uni-wuerzburg.de. Archived (PDF) from the original on 2022-02-14. Retrieved 2017-11-10.