A type of artificial intelligence that focuses on designing systems that can learn from and make decisions based on data.
The paper presents RoboFlamingo, a novel framework for robot manipulation using vision-language models (VLMs). The researchers used pre-trained VLMs and fine-tuned them on robotics data, resulting in a system that…
Continue readingThe paper presents a method called Reinforcing Traffic Rules (RTR) for simulating realistic traffic scenarios, which is essential for the development of self-driving software. Traditional imitation learning methods often result…
Continue readingThis paper presents a method for building a vision system that predicts terrain’s physical properties from images for efficient robotic locomotion. The system uses Active Sensing Motor Policies, which are…
Continue readingResearchers developed a framework, ADV3D, to test the safety of self-driving vehicles (SDVs). The industry typically uses closed-loop simulation to test how SDVs interact in synthetic and real scenarios. However,…
Continue readingThe article introduces RoboGen, a generative robotic agent that learns a variety of robotic skills through generative simulation. It uses advancements in foundation and generative models to produce a range…
Continue readingThe article explores the role of deep neural networks (DNNs) in automatic speaker recognition, particularly in modeling supra-segmental temporal information (SST). Despite their success, the understanding of what contributes to…
Continue readingThis study applies feature aggregation techniques in sound signal classification and localization networks. Feature aggregation consolidates information from various scales, enhancing feature robustness and invariance, thus improving the model’s performance….
Continue readingThis paper introduces a novel capability for hearable devices, termed ‘semantic hearing’. Semantic hearing allows the user to focus on or ignore specific sounds in real-world environments, while preserving spatial…
Continue readingThe study presents a novel test to measure how much the performance of neural networks in speaker recognition can be attributed to the modeling of supra-segmental temporal features (SST). It…
Continue readingThis academic article by Wu kai and Chen Yuanyuan proposes the design of a portable device using an Active Noise Control (ANC) system. It starts with an introduction and evaluation…
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