Blog(3)

• DH-LC: Hierarchical Matching and Hybrid Bundle Adjustment Towards Accurate and Robust Loop Closure

  Visual simultaneous localization and mapping (SLAM) inevitably produces the accumulated drift in mapping and localization due to camera calibration errors, feature matching errors, etc. It is challenging to achieve drift-free localization and obtain an accurate global map.

• RobotGPT: Robot Manipulation Learning from ChatGPT

  Large Language Models (LLMs) have showcased impressive capabilities in text generation, translation, and code synthesis. Recent efforts focus on integrating LLMs, notably ChatGPT, into robotics for tasks like zero-shot system planning [1].

• RAMP: Hierarchical Reactive Motion Planning for Manipulation Tasks Using Implicit Signed Distance Functions

  Despite numerous advances in motion planning, existing solutions for high degree-of-freedom robots struggle to provide fast and reliable solutions in unknown environments. In particular, the cost of collision checking can be prohibitive for real-time applications.

Research Areas(2)

• Next Generation Communications

  Overview The communication technology provides the infrastructure needed to enable people and things (i.e., devices, places, etc.) to connect and interact with one another across physical and virtual spaces. It is the foundation of a smarter age in which AI and robots will become a common part of our daily lives. The communication technology will continue to evolve fast to connect people with machines and things through more and faster exchange of information. To...

• Robotics

  Overview For many years in the past, the concept of ‘Robot’ had remained the same: to help people with routine labor mainly in industrial applications. Now, with the rapid development of AI, robotics, and cloud computing, the concept of robot has been revolutionized and redefined, allowing for the emergence of a new intelligent robot market not just for the industrial world but for various professional and personal use cases in people’s normal lives. To address ...

Publications(54)

• Recover: A Neuro-Symbolic Framework for Failure Detection and Recovery

  AuthorCristina Cornelio

  PublishedInternational Conference on Intelligent Robots and Systems (IROS)

  Date2024-10-14

• Intelligent Moving Display Robots: Human-Centric Design Guidelines for Human–Robot Interaction Designers

  AuthorHyeji Jang, Daehee Park, Sowoon Bae

  PublishedInternational Journal of Human–Computer Interaction

  Date2024-03-25

• FFT-Based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images

  AuthorUmberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay

  PublishedInternational Conference on Acoustics, Speech and Signal Processing (ICASSP)

  Date2024-03-18

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News(36)

• Samsung Electronics Obtains IEC 61508 and ISO 13849 Certification for 'Safety Software Framework for Mobile Robots'

  Samsung Electronics Co., Ltd. today announced that its own “Safety Software Framework for Mobile Robots” has simultaneously obtained two international standard certifications: IEC 61508 and ISO 13849 from Det Norske Veritas (DNV), one of the world’s leading independent certification bodies.

• [Blog] FFT-Based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images

  In recent years, home robot technologies have hugely improved thanks to the progress of vision systems installed on them. Technologies such as object detection and recognition help robotic devices to avoid obstacles and recognize objects in the environment.

• [Blog] Finding Waldo: Towards Efficient Exploration of NeRF Scene Spaces

  Neural Radiance Fields (NeRF) [1] have taken the 3D computer vision field by storm in the last few years, due to their ability to compactly represent complex scenes and their impressive results in novel view synthesis. NeRF methods quickly found use in various application areas, such as augmented reality, robotics, content creation and multimedia production [1] [2] [3].

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Others(12)

• Meet our researchers

  What we do Working at Samsung Research is more than just a job. Find out how our researchers enjoy their work and are passionate about making a positive impact in the world. PlayVideo thumbnail - leehojung AI: Language Understanding Lee Ho-jung PlayVideo thumbnail - leejaewon AI: Speech Recognition Lee Jae-won PlayVideo thumbnail - kimkyungsoo AI: Visual Perception Kim Kyung-su PlayVideo thumbnail - hammyungjoo AI: On-Device AI Software Ham Myung-joo PlayVi...

• Samsung AI Center - New York

  About Us Papers The Samsung AI Center in New York invents ground breaking technologies to solve challenging problems at the intersection of AI and robotics. Our team is composed of world experts in machine learning, robotics, and brain science and collaborates with leading academic groups to create both innovative theories and state-of-the-art technological demonstrations that engender pioneering products and applications for Samsung Electronics over both short and ...

• Samsung AI Center - Moscow

  About Us Papers Play Samsung AI Center – Moscow is the first institution in Russia focused directly on artificial intelligence (AI), where Russia’s strengths and capabilities in fundamental sciences, especially mathematics and physics, are brought together with Samsung global R&D strategy. Samsung AI Center - Moscow is led by Dr. Anton Konushin who is world-known AI Computer Vision expert and associate professor at Moscow State University and Higher School of Econo...

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