Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Teddy Ort"'
Publikováno v:
IEEE Robotics and Automation Letters. 7:8355-8362
Publikováno v:
IEEE Robotics and Automation Letters. 5:3267-3274
Most autonomous driving solutions require some method of localization within their environment. Typically, onboard sensors are used to localize the vehicle precisely in a previously recorded map. However, these solutions are sensitive to ambient ligh
Autor:
Teddy Ort, Rohan Banerjee, Igor Gilitschenski, Dhaivat Bhatt, Sai Krishna Gottipati, Liam Paull, Krishna Murthy, Daniela Rus
Publikováno v:
Other repository
In this work, we present MapLite: a one-click autonomous navigation system capable of piloting a vehicle to an arbitrary desired destination point given only a sparse publicly available topometric map (from OpenStreetMap). The onboard sensors are use
Autor:
Teddy Ort, Nevan Hanumara, Amado Antonini, Brandon Araki, Murad Abu-Khalaf, Michael Detienne, David Hagan, Kimberly Jung, Aaron Ramirez, Shakti Shaligram, Coby Unger, Albert Kwon, Alex Slocum, Christoph Nabzdyk, Dirk Varelmann, Jay Connor, Daniela Rus, Alexander Slocum
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
MIT's Emergency-Vent Project was launched in March 2020 to develop safe guidance and a reference design for a bridge ventilator that could be rapidly produced in a distributed manner worldwide. The system uses a novel servo-based robotic gripper to a
Publikováno v:
Robotics: Science and Systems
Mapping and localization using surface features is prone to failure due to environment changes such as inclement weather. Recently, Localizing Ground Penetrating Radar (LGPR) has been proposed as an alternative means of localizing using underground f
Autor:
Stephen G. McGill, Igor Gilitschenski, Alyssa Pierson, Guy Rosman, Daniela Rus, Teddy Ort, Luke Fletcher, John J. Leonard, Sertac Karaman, Brandon Araki
Publikováno v:
MIT web domain
Among traffic accidents in the USA, 23% of fatal and 32% of non-fatal incidents occurred at intersections. For driver assistance systems, intersection navigation remains a difficult problem that is critically important to increasing driver safety. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ab2a68267674042de0e955ade177b67
https://hdl.handle.net/1721.1/126542
https://hdl.handle.net/1721.1/126542
Publikováno v:
MIT web domain
ICRA
ICRA
© 2018 IEEE. State-of-the-art autonomous driving systems rely heavily on detailed and highly accurate prior maps. However, outside of small urban areas, it is very challenging to build, store, and transmit detailed maps since the spatial scales are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e601096701749afc32c2bebfa35b4eb
https://hdl.handle.net/1721.1/137200
https://hdl.handle.net/1721.1/137200
Publikováno v:
Volume 2: Diagnostics and Detection; Drilling; Dynamics and Control of Wind Energy Systems; Energy Harvesting; Estimation and Identification; Flexible and Smart Structure Control; Fuels Cells/Energy Storage; Human Robot Interaction; HVAC Building Energy Management; Industrial Applications; Intelligent Transportation Systems; Manufacturing; Mechatronics; Modelling and Validation; Motion and Vibration Control Applications.
Patients with hemiparesis often have limited functionality in the left or right hand. The standard therapeutic approach requires the patient to attempt to make use of the weak hand even though it is not functionally capable, which can result in feeli