no code implementations • 28 Sep 2023 • JongYoon Lim, Inkyu Sa, Bruce MacDonald, Ho Seok Ahn
This research explores using lightweight deep neural network architectures to enable the humanoid robot Pepper to understand American Sign Language (ASL) and facilitate non-verbal human-robot interaction.
no code implementations • 12 Apr 2023 • Andy Kweon, Vishnu Hu, Jong Yoon Lim, Trevor Gee, Edmond Liu, Henry Williams, Bruce A. MacDonald, Mahla Nejati, Inkyu Sa, Ho Seok Ahn
As technology progresses, smart automated systems will serve an increasingly important role in the agricultural industry.
no code implementations • 17 Mar 2022 • Inkyu Sa, JongYoon Lim, Ho Seok Ahn, Bruce MacDonald
The total number of bounding box instances of the dataset is 162k and it is ready to use from cloud service.
1 code implementation • 20 Apr 2021 • JongYoon Lim, Inkyu Sa, Ho Seok Ahn, Norina Gasteiger, Sanghyub John Lee, Bruce MacDonald
Drawing inspiration from this, we propose a coverage-based sentiment and subsentence extraction system that estimates a span of input text and recursively feeds this information back to the networks.
no code implementations • 15 Mar 2020 • Sirish Srinivasan, Inkyu Sa, Alex Zyner, Victor Reijgwart, Miguel I. Valls, Roland Siegwart
Velocity estimation plays a central role in driverless vehicles, but standard and affordable methods struggle to cope with extreme scenarios like aggressive maneuvers due to the presence of high sideslip.
4 code implementations • 13 May 2019 • Juraj Kabzan, Miguel de la Iglesia Valls, Victor Reijgwart, Hubertus Franciscus Cornelis Hendrikx, Claas Ehmke, Manish Prajapat, Andreas Bühler, Nikhil Gosala, Mehak Gupta, Ramya Sivanesan, Ankit Dhall, Eugenio Chisari, Napat Karnchanachari, Sonja Brits, Manuel Dangel, Inkyu Sa, Renaud Dubé, Abel Gawel, Mark Pfeiffer, Alexander Liniger, John Lygeros, Roland Siegwart
This paper presents the algorithms and system architecture of an autonomous racecar.
Robotics
no code implementations • 26 Sep 2018 • Nikhil Bharadwaj Gosala, Andreas Bühler, Manish Prajapat, Claas Ehmke, Mehak Gupta, Ramya Sivanesan, Abel Gawel, Mark Pfeiffer, Mathias Bürki, Inkyu Sa, Renaud Dubé, Roland Siegwart
In autonomous racing, vehicles operate close to the limits of handling and a sensor failure can have critical consequences.
1 code implementation • 8 Sep 2018 • Marija Popovic, Teresa Vidal-Calleja, Gregory Hitz, Jen Jen Chung, Inkyu Sa, Roland Siegwart, Juan Nieto
Unmanned Aerial Vehicles (UAVs) represent a new frontier in a wide range of monitoring and research applications.
Robotics
1 code implementation • 11 Sep 2017 • Inkyu Sa, Zetao Chen, Marija Popovic, Raghav Khanna, Frank Liebisch, Juan Nieto, Roland Siegwart
In this paper, we present an approach for dense semantic weed classification with multispectral images collected by a micro aerial vehicle (MAV).
1 code implementation • 17 Jul 2017 • Jemin Hwangbo, Inkyu Sa, Roland Siegwart, Marco Hutter
In this paper, we present a method to control a quadrotor with a neural network trained using reinforcement learning techniques.
Robotics
no code implementations • 30 Jan 2017 • Inkyu Sa, Chris Lehnert, Andrew English, Chris McCool, Feras Dayoub, Ben Upcroft, Tristan Perez
This paper presents a 3D visual detection method for the challenging task of detecting peduncles of sweet peppers (Capsicum annuum) in the field.