Marktechpost

DECEMBER 5, 2023

In computer vision and robotics, simultaneous localization and mapping (SLAM) with cameras is a key topic that aims to allow autonomous systems to navigate and understand their environment. Moreover, the Photo-SLAM system’s real-time operation on embedded devices demonstrates its potential for useful robotics applications.

AI Researcher 93

AI Researcher AI Research Robotics Computer Vision 93

Marktechpost

NOVEMBER 19, 2023

A team of researchers from MIT and the Institute of AI and Fundamental Interactions (IAIFI) has introduced a groundbreaking framework for robotic manipulation, addressing the challenge of enabling robots to understand and manipulate objects in unpredictable and cluttered environments.

Robotics 121

Robotics AI AI Automation 121

Marktechpost

JANUARY 28, 2024

This limitation is particularly pronounced in real-world applications requiring complex spatial analysis, such as robotics or augmented reality, where precise spatial understanding is crucial. This feature makes it a valuable tool for open-vocabulary reward annotators in complex robotic rearrangement tasks.

AI Researcher 119

AI Researcher AI Research Robotics Large Language Models 119

Marktechpost

MAY 7, 2024

The capacity to produce pertinent instructions and content is just the beginning of what is needed to construct AI systems that work with humans in the real world. This includes mixed-reality task assistants, interactive robots, smart manufacturing floors, autonomous vehicles, and many more. Also, don’t forget to follow us on Twitter.

AI Researcher 96

AI Researcher AI Research Artificial Intelligence Artificial Intelligence 96

Marktechpost

AUGUST 18, 2023

A significant barrier to progress in robot learning is the dearth of sufficient, large-scale data sets. Data sets in robotics have issues with being (a) hard to scale, (b) collected in sterile, non-realistic surroundings (such as a robotics lab), and (c) too homogeneous (such as toy items with preset backgrounds and lighting).

Robotics 98

Robotics AI AI AI Researcher 98

Marktechpost

DECEMBER 15, 2023

Researchers from Carnegie Mellon University and Google DeepMind have collaborated to develop RoboTool, a system leveraging Large Language Models (LLMs) to imbue robots with the ability to creatively use tools in tasks involving implicit physical constraints and long-term planning. Check out the Paper , Project , and Blog.

Robotics 96

Robotics Large Language Models AI AI 96

Marktechpost

OCTOBER 6, 2023

Capturing and encoding information about a visual scene, typically in the context of computer vision, artificial intelligence, or graphics, is called Scene representation. Robots must build these representations online from onboard sensors as they navigate an environment. Check out the Paper , GitHub , and Project.

Robotics 114

Robotics Computer Vision Artificial Intelligence Artificial Intelligence 114

Marktechpost

SEPTEMBER 8, 2023

This surge in interest can be largely attributed to the soaring demand for autonomous driving, enhanced navigation systems, advanced 3D scene comprehension, and the burgeoning field of robotics. All Credit For This Research Goes To the Researchers on This Project. If you like our work, you will love our newsletter.

AI Researcher 121

AI Researcher AI Research Large Language Models LLM 121

Marktechpost

JANUARY 10, 2024

These advancements mainly center on improving visual understanding by utilizing language models with at least 7B parameters and integrating them with a vision encoder. All credit for this research goes to the researchers of this project. Regarding mobile technology, Gemini has been a trailblazer for multimodal approaches.

AI Researcher 104

AI Researcher AI Research Large Language Models Robotics 104

Marktechpost

JULY 30, 2023

Other researchers at Berkley also created a development framework to speed up the NeRF projects to make them more accessible. Due to the wide range of applications in computer vision, graphics, and robotics, the development of NeRF is rapidly growing. All Credit For This Research Goes To the Researchers on This Project.

Python 97

Python Computer Vision Robotics Machine Learning 97

Marktechpost

JULY 7, 2023

With the growing advancement in the field of Artificial Intelligence, AI technology is getting started to combine with robotics. From Computer Vision and Natural Language Processing to Edge computing, AI is getting integrated with robotics to develop meaningful and effective solutions.

Robotics 101

Robotics Natural Language Processing Computer Vision Artificial Intelligence 101

Marktechpost

AUGUST 26, 2023

Whole-body manipulation is a strength of humans but a weakness of robots. The robot interprets each possible contact point between the box and the carrier’s fingers, arms, or torso as a separate contact event. Now, MIT researchers can streamline this technique, called contact-rich manipulation planning.

Robotics 98

Robotics Artificial Intelligence Artificial Intelligence AI 98

Marktechpost

NOVEMBER 19, 2023

A team of researchers from the University of Illinois Urbana-Champaign, Carnegie Mellon University, Georgia Institute of Technology, University of California Berkeley, Meta AI Research, and Mistral AI has developed a universal navigation system called GO To Any Thing (GOAT). Check out the Paper and Project.

Robotics 120

Robotics AI Researcher AI Research ML 120

Marktechpost

OCTOBER 26, 2023

Facebook AI Research (FAIR) is dedicated to advancing the field of socially intelligent robotics. The primary objective is to develop robots capable of assisting with everyday tasks while adapting to the unique preferences of their human partners. In the field of robotics research, having a shared platform is crucial.

Robotics 108

Robotics AI AI AI Researcher 108

Marktechpost

NOVEMBER 27, 2023

These agents often use techniques from reinforcement learning, computer vision, and spatial reasoning to navigate and interact effectively within these environments. The team extensively evaluated LEO and demonstrated its proficiency in diverse tasks, including embodied navigation and robotic manipulation.

Computer Vision 108

Computer Vision Artificial Intelligence Artificial Intelligence Robotics 108

Marktechpost

JANUARY 22, 2024

Since it helps robots understand and interpret visual input, image annotation is vital in computer vision, robotics, and autonomous driving. Thanks to Keylabs, AI researchers and developers may save time annotating photos. Combining image scaling tasks is possible.

Computer Vision 92

Computer Vision Machine Learning ML Deep Learning 92

Marktechpost

NOVEMBER 5, 2023

In the ever-evolving landscape of robotics and Artificial Intelligence, an interesting and challenging problem is how to educate robots to do jobs on completely unique objects, i.e., objects they have never seen or interacted with previously. All Credit For This Research Goes To the Researchers on This Project.

Artificial Intelligence 129

Artificial Intelligence Artificial Intelligence Robotics AI Researcher 129

Marktechpost

NOVEMBER 29, 2023

GS-SLAM demonstrates improved tracking, mapping, and rendering performance, offering a significant advancement in dense SLAM capabilities for robotics, virtual reality, and augmented reality applications. All credit for this research goes to the researchers of this project. Check out the Paper.

AI Researcher 86

AI Researcher AI Research Deep Learning AI 86

Marktechpost

DECEMBER 1, 2023

The Quatro++ method solves the crucial task of 3D point cloud registration, which is fundamental in robotics and computer vision. All credit for this research goes to the researchers of this project. Check out the Paper and Project. If you like our work, you will love our newsletter.

Computer Vision 97

Computer Vision Robotics AI Researcher AI Research 97

Marktechpost

SEPTEMBER 24, 2023

Estimating the 3D structure of the human body from real-world scenes is a challenging task with significant implications for fields like artificial intelligence, graphics, and human-robot interaction. All Credit For This Research Goes To the Researchers on This Project. Check out the Paper and Project.

Robotics 131

Robotics Computer Vision Automation Artificial Intelligence 131

Marktechpost

JULY 27, 2023

In recent years, there have been significant breakthroughs in the field of Deep Learning, particularly in the popular sub-fields of Artificial Intelligence, including Natural Language Processing (NLP), Natural Language Understanding (NLU) and Computer Vision (CV). All Credit For This Research Goes To the Researchers on This Project.

Natural Language Processing 98

Natural Language Processing Robotics Computer Vision Large Language Models 98

Marktechpost

NOVEMBER 12, 2023

In deep learning, Transformer neural networks have garnered significant attention for their effectiveness in various domains, especially in natural language processing and emerging applications like computer vision, robotics, and autonomous driving. All credit for this research goes to the researchers of this project.

Artificial Intelligence 143

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 143

Marktechpost

DECEMBER 3, 2023

High-quality 3D content synthesis is a crucial yet challenging problem for many applications, such as autonomous driving, robotic simulation, gaming, filmmaking, and future VR/AR situations. All credit for this research goes to the researchers of this project. Check out the Paper, Github , and Project.

Computer Vision 112

Computer Vision Algorithm Robotics AI 112

Marktechpost

AUGUST 8, 2023

In traditional model-based control methods, the controller directly reasons with the dynamic model of the robot. Recent studies use policies established through reinforcement learning as robotic structures become more complex and biomimetic. All Credit For This Research Goes To the Researchers on This Project.

Robotics 97

Robotics AI Researcher AI Research ML 97

Marktechpost

JULY 11, 2023

The ability of deep learning to handle high-dimensional, unstructured data and its remarkable performance in complex tasks have made it a cornerstone of modern AI applications, driving advancements in fields ranging from healthcare and finance to robotics and computer vision. Check out the Paper and Code.

Neural Network 98

Neural Network Deep Learning Computer Vision Natural Language Processing 98

Marktechpost

OCTOBER 21, 2023

To combine computer-generated visuals or deduce the physical characteristics of a scene from pictures, computer graphics, and 3D computer vision groups have been working to create physically realistic models for decades. All Credit For This Research Goes To the Researchers on This Project.

Artificial Intelligence 127

Artificial Intelligence Artificial Intelligence Convolutional Neural Networks Neural Network 127

Marktechpost

JUNE 12, 2023

Whenever someone talks about artificial intelligence, the first thing that comes to mind is a robot, an android, or a humanoid that can do things humans do with the same effect, if not better. The approach’s remarkable ability to surpass the SoTA highlights its potential to revolutionize AI-driven VLN tasks.

Computer Vision 88

Computer Vision Natural Language Processing Robotics Artificial Intelligence 88

Marktechpost

AUGUST 8, 2023

As the field of Artificial Intelligence is constantly progressing, it has paved its way into a number of use cases, including robotics. With the utilization of visual data, VPR enables robots to recognize and comprehend their current location or place within their surroundings. Check out the Paper , GitHub , and Project.

Robotics 98

Robotics Artificial Intelligence Artificial Intelligence AI Researcher 98

Marktechpost

JULY 12, 2023

These models imitate humans and, by utilizing the power of Natural Language Processing or Computer Vision, demonstrate some amazing solutions. This is because of the characteristics of the API, such as its stability, reliability, and widespread adoption in notable projects and tools such as ROBOT and HermiT.

Deep Learning 98

Deep Learning Python Large Language Models Natural Language Processing 98

Marktechpost

AUGUST 11, 2023

They have proved most useful in medicine, robotics, and entertainment due to their ability to create high-resolution images. 3D reconstruction and rendering of scenes with mirrors, which exist ubiquitously in the real world, have been a long-standing challenge in computer vision. Check out the Paper.

Computer Vision 52

Computer Vision Robotics AI Researcher AI Research 52

Marktechpost

JULY 19, 2023

Source: [link] Google: PaLM-E PaLM-E is a new robotics model developed by researchers at Google and TU Berlin that utilizes knowledge transfer from various visual and language domains to enhance robot learning. Unlike prior efforts, PaLM-E trains the language model to incorporate raw sensor data from the robotic agent directly.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Large Language Models Robotics 98

Viso.ai

DECEMBER 18, 2023

Access to synthetic data is valuable for developing effective artificial intelligence (AI) and machine learning (ML) models. To address these challenges, we introduce synthetic data as an ML model training solution. Viso Suite is the End-to-End, No-Code Computer Vision Platform – Learn more What is Synthetic Data?

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

Marktechpost

JANUARY 1, 2024

The researchers from S-Lab Nanyang Technological University, National University of Singapore, and Dyson Robot Learning Lab introduce InsActor. All credit for this research goes to the researchers of this project. This gap hinders the creation of instructionally faithful and physically realistic animations.

Robotics 118

Robotics AI Researcher AI Research ML 118

Marktechpost

AUGUST 6, 2023

They suggest examining whether large language models (LLMs) may profit from films because of their success in robotic planning and program-based visual question answering. All Credit For This Research Goes To the Researchers on This Project. These issues are addressed in their study in both top-down and bottom-up LTA.

Large Language Models 98

Large Language Models Neural Network Computer Vision Algorithm 98

Marktechpost

NOVEMBER 10, 2023

All credit for this research goes to the researchers of this project. Also, don’t forget to join our 32k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more. We are also on Telegram and WhatsApp.

Robotics 100

Robotics AI Researcher AI Research ML 100

Marktechpost

SEPTEMBER 1, 2023

The researchers of the Robotics and Perception group at the University of Zurich built a drone system called “SWIFT” that can race physical vehicles at the level of the human world champions. All Credit For This Research Goes To the Researchers on This Project. Check out the Paper.

Robotics 126

Robotics Algorithm AI Researcher AI Research 126

Marktechpost

JULY 6, 2023

3D instance segmentation has emerged as a critical task with significant applications in fields such as robotics and augmented reality. By adopting a more flexible and expansive approach, open-vocabulary methods offer several advantages in tasks such as scene understanding, robotics, augmented reality, and 3D visual search.

AI Modeling 102

AI Modeling Neural Network Robotics AI Tools 102