#Robotics
Latest news articles tagged with "Robotics". Follow the timeline of events, related topics, and entities.
Articles (30)
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🇺🇸 Alibaba leads $290 million investment for building a new kind of AI model as LLM limits emerge
[USA]
Startup Shengshu plans to use the money for a "general world model," paving the way for more practical robot applications.
Related: #Artificial Intelligence, #Technology Investment -
🇺🇸 Logical Robots: Declarative Multi-Agent Programming in Logica
[USA]
arXiv:2604.06629v1 Announce Type: cross Abstract: We present Logical Robots, an interactive multi-agent simulation platform where autonomous robot behavior is specified declaratively in the logic pro...
Related: #Programming Paradigms, #Artificial Intelligence -
🇺🇸 AEROS: A Single-Agent Operating Architecture with Embodied Capability Modules
[USA]
arXiv:2604.07039v1 Announce Type: cross Abstract: Robotic systems lack a principled abstraction for organizing intelligence, capabilities, and execution in a unified manner. Existing approaches eithe...
Related: #Artificial Intelligence, #System Architecture -
🇺🇸 KITE: Keyframe-Indexed Tokenized Evidence for VLM-Based Robot Failure Analysis
[USA]
arXiv:2604.07034v1 Announce Type: cross Abstract: We present KITE, a training-free, keyframe-anchored, layout-grounded front-end that converts long robot-execution videos into compact, interpretable ...
Related: #Artificial Intelligence, #Computer Vision -
🇺🇸 Flow Motion Policy: Manipulator Motion Planning with Flow Matching Models
[USA]
arXiv:2604.07084v1 Announce Type: cross Abstract: Open-loop end-to-end neural motion planners have recently been proposed to improve motion planning for robotic manipulators. These methods enable pla...
Related: #Artificial Intelligence, #Motion Planning -
🇺🇸 World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation
[USA]
arXiv:2509.19080v2 Announce Type: replace-cross Abstract: Robotic manipulation policies are commonly initialized through imitation learning, but their performance is limited by the scarcity and narro...
Related: #Reinforcement Learning, #Diffusion Models -
🇺🇸 Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning
[USA]
arXiv:2506.16931v3 Announce Type: replace Abstract: Effective and efficient task planning is essential for mobile robots, especially in applications like warehouse retrieval and environmental monitor...
Related: #Optimization, #AI -
🇺🇸 Adaptive Relative Pose Estimation Framework with Dual Noise Tuning for Safe Approaching Maneuvers
[USA]
arXiv:2507.16214v3 Announce Type: replace-cross Abstract: Accurate and robust relative pose estimation is crucial for enabling challenging Active Debris Removal (ADR) missions targeting tumbling dere...
Related: #Safety, #Autonomous Systems -
🇺🇸 Beyond the Desk: Barriers and Future Opportunities for AI to Assist Scientists in Embodied Physical Tasks
[USA]
arXiv:2603.19504v1 Announce Type: cross Abstract: More scientists are now using AI, but prior studies have examined only how they use it 'at the desk' for computer-based work. However, given that sci...
Related: #AI in Science -
🇺🇸 The Robot's Inner Critic: Self-Refinement of Social Behaviors through VLM-based Replanning
[USA]
arXiv:2603.20164v1 Announce Type: cross Abstract: Conventional robot social behavior generation has been limited in flexibility and autonomy, relying on predefined motions or human feedback. This stu...
Related: #AI Ethics -
🇺🇸 Do you want to build a robot snowman?
[USA]
On the latest episode of the Equity podcast, we recapped CEO Jensen Huang’s GTC keynote and debated what it means for Nvidia’s future.
Related: #Seasonal Projects - 🇺🇸 Goldman shares latest updates on Tesla’s Optimus project [USA] Related: #Technology, #Finance
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🇺🇸 What happened at Nvidia GTC: NemoClaw, Robot Olaf, and a $1 trillion bet
[USA]
CEO Jensen Huang took the stage at Nvidia’s GTC conference this week in his signature leather jacket to deliver a two-and-a-half-hour keynote, projecting $1 trillion in AI chip sales through 2027, dec...
Related: #AI Innovation, #Corporate Strategy -
🇺🇸 Unitree plans Shanghai IPO, testing interest in humanoid robots
[USA]
Chinese startup Unitree Robotics on Friday filed an initial public offering application to the Shanghai Stock Exchange, seeking to raise about $610 million.
Related: #Finance, #Technology -
🇺🇸 Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds
[USA]
arXiv:2603.18532v1 Announce Type: cross Abstract: The strong performance of large vision-language models (VLMs) trained with reinforcement learning (RL) has motivated similar approaches for fine-tuni...
Related: #AI Training, #Simulation -
🇺🇸 REST: Receding Horizon Explorative Steiner Tree for Zero-Shot Object-Goal Navigation
[USA]
arXiv:2603.18624v1 Announce Type: cross Abstract: Zero-shot object-goal navigation (ZSON) requires navigating unknown environments to find a target object without task-specific training. Prior hierar...
Related: #Navigation -
🇺🇸 Offload or Overload: A Platform Measurement Study of Mobile Robotic Manipulation Workloads
[USA]
arXiv:2603.18284v1 Announce Type: cross Abstract: Mobile robotic manipulation--the ability of robots to navigate spaces and interact with objects--is a core capability of physical AI. Foundation mode...
Related: #Workload Optimization -
🇺🇸 Amazon acquires Rivr, maker of a stair-climbing delivery robot
[USA]
Amazon and Jeff Bezos had previously invested in the startup.
Related: #Acquisition, #Logistics -
🇺🇸 Amazon acquires startup Rivr to test robots for 'doorstep delivery'
[USA]
The company expects to test ways it can use Rivr's robots to help with "doorstep delivery" and to "improve safety outcomes" for delivery drivers.
Related: #Acquisition, #Delivery -
🇺🇸 Employees had to restrain a dancing humanoid robot after it went wild at a California restaurant
[USA]
A dancing robot in a Haidilao hot pot restaurant boogied down a little too hard.
Related: #Safety -
🇺🇸 EVA: Aligning Video World Models with Executable Robot Actions via Inverse Dynamics Rewards
[USA]
arXiv:2603.17808v1 Announce Type: cross Abstract: Video generative models are increasingly used as world models for robotics, where a model generates a future visual rollout conditioned on the curren...
Related: #AI Alignment -
🇺🇸 KineVLA: Towards Kinematics-Aware Vision-Language-Action Models with Bi-Level Action Decomposition
[USA]
arXiv:2603.17524v1 Announce Type: cross Abstract: In this paper, we introduce a novel kinematics-rich vision-language-action (VLA) task, in which language commands densely encode diverse kinematic at...
Related: #AI Integration -
🇺🇸 EmergeNav: Structured Embodied Inference for Zero-Shot Vision-and-Language Navigation in Continuous Environments
[USA]
arXiv:2603.16947v1 Announce Type: cross Abstract: Zero-shot vision-and-language navigation in continuous environments (VLN-CE) remains challenging for modern vision-language models (VLMs). Although t...
Related: #AI Navigation -
🇺🇸 Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control
[USA]
arXiv:2603.17834v1 Announce Type: cross Abstract: Diffusion models and flow matching have become a cornerstone of robotic imitation learning, yet they suffer from a structural inefficiency where infe...
Related: #AI Optimization -
🇺🇸 Identifying Latent Actions and Dynamics from Offline Data via Demonstrator Diversity
[USA]
arXiv:2603.17577v1 Announce Type: cross Abstract: Can latent actions and environment dynamics be recovered from offline trajectories when actions are never observed? We study this question in a setti...
Related: #Machine Learning -
🇺🇸 ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors
[USA]
arXiv:2603.15956v1 Announce Type: cross Abstract: Learning generalizable and robust behavior cloning policies requires large volumes of high-quality robotics data. While human demonstrations (e.g., t...
Related: #AI Training -
🇺🇸 Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language Models
[USA]
arXiv:2603.16065v1 Announce Type: cross Abstract: Reinforcement Learning (RL) has shown great potential in refining robotic manipulation policies, yet its efficacy remains strongly bottlenecked by th...
Related: #AI, #Machine Learning -
🇺🇸 You've Got a Golden Ticket: Improving Generative Robot Policies With A Single Noise Vector
[USA]
arXiv:2603.15757v1 Announce Type: cross Abstract: What happens when a pretrained generative robot policy is provided a constant initial noise as input, rather than repeatedly sampling it from a Gauss...
Related: #AI Optimization -
🇺🇸 Towards the Vision-Sound-Language-Action Paradigm: The HEAR Framework for Sound-Centric Manipulation
[USA]
arXiv:2603.16086v1 Announce Type: cross Abstract: While recent Vision-Language-Action (VLA) models have begun to incorporate audio, they typically treat sound as static pre-execution prompts or focus...
Related: #Multimodal AI, #Sound Processing -
🇺🇸 Active Causal Structure Learning with Latent Variables: Towards Learning to Detour in Autonomous Robots
[USA]
arXiv:2410.20894v2 Announce Type: replace Abstract: Artificial General Intelligence (AGI) Agents and Robots must be able to cope with everchanging environments and tasks. They must be able to activel...
Related: #AI Learning
Key Entities (16)
- Reinforcement learning (1 news)
- Artificial intelligence (1 news)
- Logica (1 news)
- Robot (disambiguation) (1 news)
- Ali Baba (disambiguation) (1 news)
- Machine learning (1 news)
- AEROS (1 news)
- Optimus (1 news)
- Tesla (1 news)
- Goldman Sachs (1 news)
- Amazon (1 news)
- Steiner tree problem (1 news)
- REST (1 news)
- Unitree Robotics (1 news)
- Initial public offering (1 news)
- Shanghai (1 news)
About the topic: Robotics
The topic "Robotics" aggregates 30+ news articles from various countries.