Self-driving scooter demonstrated at MIT complements autonomous golf carts and city cars
At MIT’s 2016 Open House last spring, more than 100 visitors took rides on an autonomous mobility scooter in a trial of software designed by researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), the National University of Singapore, and the Singapore-MIT Alliance for Research and Technology (SMART).
The researchers had previously used the same sensor configuration and software in trials of autonomous cars and golf carts, so the new trial completes the demonstration of a comprehensive autonomous mobility system. A mobility-impaired user could, in principle, use a scooter to get down the hall and through the lobby of an apartment building, take a golf cart across the building’s parking lot, and pick up an autonomous car on the public roads.
The new trial establishes that the researchers’ control algorithms work indoors as well as out. “We were testing them in tighter spaces,” says Scott Pendleton, a graduate student in mechanical engineering at the National University of Singapore (NUS) and a research fellow at SMART. “One of the spaces that we tested in was the Infinite Corridor of MIT, which is a very difficult localization problem, being a long corridor without very many distinctive features. You can lose your place along the corridor. But our algorithms proved to work very well in this new environment.”
The researchers’ system includes several layers of software: low-level control algorithms that enable a vehicle to respond immediately to changes in its environment, such as a pedestrian darting across its path; route-planning algorithms; localization algorithms that the vehicle uses to determine its location on a map; map-building algorithms that it uses to construct the map in the first place; a scheduling algorithm that allocates fleet resources; and an online booking system that allows users to schedule rides.
Using the same control algorithms for all types of vehicles — scooters, golf carts, and city cars — has several advantages. One is that it becomes much more practical to perform reliable analyses of the system’s overall performance.
“If you have a uniform system where all the algorithms are the same, the complexity is much lower than if you have a heterogeneous system where each vehicle does something different,” says Daniela Rus, the Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT and one of the project’s leaders. “That’s useful for verifying that this multilayer complexity is correct.”
Furthermore, with software uniformity, information that one vehicle acquires can easily be transferred to another. Before the scooter was shipped to MIT, for instance, it was tested in Singapore, where it used maps that had been created by the autonomous golf cart.
Similarly, says Marcelo Ang, an associate professor of mechanical engineering at NUS who co-leads the project with Rus, in ongoing work the researchers are equipping their vehicles with machine-learning systems, so that interactions with the environment will improve the performance of their navigation and control algorithms. “Once you have a better driver, you can easily transplant that to another vehicle,” says Ang. “That’s the same across different platforms.”
Finally, software uniformity means that the scheduling algorithm has more flexibility in its allocation of system resources. If an autonomous golf cart isn’t available to take a user across a public park, a scooter could fill in; if a city car isn’t available for a short trip on back roads, a golf cart might be.
“I can see its usefulness in large indoor shopping malls and amusement parks to take [mobility-impaired] people from one spot to another,” says Dan Ding, an associate professor of rehabilitation science and technology at the University of Pittsburgh, about the system.
The scooter trial at MIT also demonstrated the ease with which the researchers could deploy their modular hardware and software system in a new context. “It’s extraordinary to me, because it’s a project that the team conducted in about two months,” Rus says. MIT’s Open House was at the end of April, and “the scooter didn’t exist on February 1st,” Rus says.
The researchers described the design of the scooter system and the results of the trial in a paper they presented last week at the IEEE International Conference on Intelligent Transportation Systems. Joining Rus, Pendleton, and Ang on the paper are You Hong Eng, who leads the SMART autonomous-vehicle project, and four other researchers from both NUS and SMART.
The paper also reports the results of a short user survey that the researchers conducted during the trial. Before riding the scooter, users were asked how safe they considered autonomous vehicles to be, on a scale from one to five; after their rides, they were asked the same question again. Experience with the scooter brought the average safety score up, from 3.5 to 4.6.
Learn more: Driverless-vehicle options now include scooters
The Latest on: Autonomous transportation
via Google News
The Latest on: Autonomous transportation
- Robotic Research to Start Testing Fully Autonomous Unmanned Shuttleson February 25, 2020 at 6:52 am
all while the vehicle is collecting and analyzing data to better enhance the future of autonomous vehicles and transportation. Robotic Research’s technology provides automation to one of the largest ...
- What are the segments booming in Autonomous Cars market?on February 24, 2020 at 4:53 am
Top Players in Autonomous Cars Market are Daimler AG, General Motors, Ford Motor Company, BMW AG, Robert Bosch GMBH, Denso Corporation, Volvo-AutolivEricsson-Zenuity Alliance, ...
- Autonomous Ridehailing Could Be More Profitable Than We Had Modeledon February 22, 2020 at 5:36 am
In conclusion, ARK expects that a handful of platforms will enjoy natural geographic monopolies and profit handsomely, perhaps more so than we originally forecasted, as transportation shifts from ...
- Volocopter raises $40M more for its autonomous flying taxison February 21, 2020 at 10:40 am
Volocopter GmbH, a German startup developing giant drones for ferrying passengers and cargo, today announced that it has secured 37 million euros ($40 million) in fresh funding to pursue its vision of ...
- Autonomous Bus Market Research Report 2020 Global Industry Analysis, Business Development, Size, Share, Trends, Future Growth, Forecast To 2023on February 19, 2020 at 11:02 pm
Autonomous Bus market 2020 research report signifies the detail overview of existing market State, Size, Share and forecast 2020-2023. The Autonomous Bus report further covers the comprehensive ...
- Autonomous Shuttles Are Beginning to Close Real Transit Gapson February 19, 2020 at 5:24 pm
Small self-driving shuttles are evolving from being a piece of shiny demonstration technology to serving real transit needs and providing transportation to destinations like grocery stores and ...
- Autonomous Yard Trucking Startup Drives Out Of Stealth With $53M In Series Aon February 19, 2020 at 5:52 am
An autonomous yard trucking startup has come out of stealth, announcing $53 million in Series A and seed funding rounds led by investment groups NEA and 8VC. Previously known as Azevtec, Outrider is ...
- Robotic Research Helps Olli Shuttle Bring Autonomous Vehicle Programs to Campuses in Italy and Saudi Arabiaon February 19, 2020 at 5:30 am
“Every new application and deployment of the Olli shuttle demonstrates its effectiveness in solving transportation needs for customers looking for clean, safe and efficient infrastructure. The ...
- Outrider raises $53 million to develop autonomous truck technologyon February 19, 2020 at 4:00 am
Outrider doesn’t own or operate vehicles itself — instead, it provides a software-as-a-service (SaaS) solution for customer-owned fully and semi-autonomous freight and transportation fleets, as well ...
via Bing News