Blog(4)

• DAM-VLA: A Dynamic Action Model-Based Vision-Language-Action Framework for Robot Manipulation

  A central challenge in robotics is enabling robots to perform diverse tasks in dynamic environments.

• 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].

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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(55)

• Hierarchical planning for complex tasks with KG-RAG and symbolic verification

  AuthorCristina Cornelio

  PublishedInternational Conference on Machine Learning (ICML)

  Date2025-07-13

• 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

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News(40)

• [Blog] DAM-VLA: A Dynamic Action Model-Based Vision-Language-Action Framework for Robot Manipulation

  A central challenge in robotics is enabling robots to perform diverse tasks in dynamic environments.

• [Blog] Predicting High-precision Depth on Low-Precision Devices Using 2D Hilbert Curves

  Dense depth prediction is widely utilized in such areas as scene understanding [1, 2], autonomous driving [3, 4], robotics [5], AR/VR [6], IoT [7]. Usually, applications in these areas have strong limitations on hardware capabilities.

• [Blog] Trick-GS: A Balanced Bag of Tricks for Efficient Gaussian Splatting

  3D reconstruction is a long-standing problem in computer vision, with applications in robotics, VR and multimedia.

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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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