Blog(2)

• 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.

• 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(1)

• 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(28)

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

  AuthorCristina Cornelio

  PublishedInternational Conference on Intelligent Robots and Systems (IROS)

  Date2024-10-14

• ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence

  AuthorDmitriy Rivkin, Gregory Dudek, Nikhil Kakodkar, David Meger, Oliver Limoyo, Michael Jenkin, Xue Liu, Francois Hogan

  PublishedInternational Conference on Robotics and Automation (ICRA)

  Date2023-05-29

• Pick2Place: Task-aware 6DoF Grasp Estimation via Object-Centric Perspective Affordance

  AuthorZhanpeng He, Nikhil Chavan-Dafle, Jinwook Huh, Shuran Song, Volkan Isler

  PublishedInternational Conference on Robotics and Automation (ICRA)

  Date2023-05-29

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News(22)

• [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].

• [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].

• [Blog] 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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Others(8)

• 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...

• Samsung AI Forum 2020

  제4회 AI 포럼 2020. 11. 2 - 11. 3 Day 1 Image Day 1 날짜11. 2(월) 09:00 ~ 13:00 주관삼성종합기술원 주관 다시보기다시보기 Day 2 Image Day 2 날짜11.3 (화) 09:00 ~ 12:00 주관삼성리서치 주관 Schedule Q&A List >> Day 2 11.3 (화) 09:00 ~ 12:00 삼성리서치 주관 09:00 - 09:25 Opening Keynote >> Sebastian Seung|Corporate President of Samsung Electronics 09:25 - 09:50 Session 1. Natural Language Processing >> Christopher Manning|Stanford University Natural Language Understanding and Conversation...

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