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Robotics company moves: funding rounds, product launches, partnerships, acquisitions and market entries.
Robotics company moves: funding rounds, product launches, partnerships, acquisitions and market entries.
Latest in Companies
188 storiesAny2Any: Efficient Cross-Embodiment Transfer for Humanoid Whole-Body Tracking
arXiv:2605.23733v2 Announce Type: replace Abstract: Whole-body tracking (WBT) models have become a key foundation for humanoid robots, enabling them to imitate …
WAM-RL: World-Action Model Reinforcement Learning with Reconstruction Rewards and Online Video SFT
arXiv:2606.17906v1 Announce Type: new Abstract: Recent World-Action (WA) models demonstrate strong generalization ability and data efficiency, but they typicall…
Pegasus Tech Ventures launches $60M fund for physical AI startups
Pegasus and CYBERDYNE will invest in startups developing robotics, physical AI, healthcare, automation, and intelligent systems. The post Pegasus Tech Ventures …
Genesis AI launches Eno general-purpose robot
Genesis plans to begin Eno’s production and targeted customer deployments by the end of 2026, with home deployments coming later. The post Genesis AI launches E…
Is Your Trajectory Displacement Safe in Long-tail?
arXiv:2606.16313v1 Announce Type: new Abstract: Long-tail scenarios remain a major bottleneck for autonomous driving evaluation, even as datasets grow by orders…
Perceptive Behavior Foundation Model: Adapting Human Motion Priors to Robot-Centric Terrain
arXiv:2606.08059v2 Announce Type: replace Abstract: Humanoid behavior foundation models aim to acquire reusable whole-body control policies from broad human mot…
FDIO: Frequency Decomposed Inertial Odometry
arXiv:2511.15645v4 Announce Type: replace-cross Abstract: Pedestrian inertial odometry (PIO) estimates autonomous pedestrian motion using only acceleration and …
Computing Smooth Geodesics under Two-Sided Curvature Bounds with Applications to Robotics and Image Analysis
arXiv:2606.14794v1 Announce Type: new Abstract: Curvature of planar curves serves as a key regularization term for computing second-order minimal paths, due to …
LOPAL: Local Performance-Aware Active Learning from Imperfect Demonstrations
arXiv:2606.16888v1 Announce Type: new Abstract: Learning from Demonstration (LfD) enables intuitive robot skill acquisition by allowing robots to learn directly…
C-3TO: Continuous 3D Trajectory Optimization on Neural Euclidean Signed Distance Fields
arXiv:2509.20084v2 Announce Type: replace Abstract: This paper introduces a novel framework for continuous 3D trajectory optimization in cluttered environments,…
Simplifying ROS2 controllers with a modular architecture for robot-agnostic reference generation
arXiv:2601.08514v2 Announce Type: replace Abstract: This paper introduces a novel modular architecture for ROS2 that decouples the logic required to acquire, va…
VLALeaks: Membership Inference Attacks against Vision-Language-Action Models
arXiv:2606.15165v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models enable end-to-end robot control and have garnered widespread attention. Ho…
When Should a Robot Replan? Regret-Guided Update Scheduling in Time-Varying MDPs
arXiv:2606.16972v1 Announce Type: new Abstract: Robots operating in non-stationary environments must continually adapt their policies as the dynamics drift, but…
APEX: Adaptive Policy Execution for Precise Manipulation
arXiv:2606.16504v1 Announce Type: new Abstract: Modern imitation learning methods, including visuomotor and Vision-Language-Action (VLA) policies, typically out…
Learning New Tasks via Reusable Skills: Skill-Compositional Experts for Embodied Continual Learning
arXiv:2606.15685v1 Announce Type: new Abstract: Embodied Continual Learning (ECL) aims to enable robots to continually acquire new manipulation tasks while reta…
SimCoachCorpus: A naturalistic dataset with language and trajectories for embodied teaching
arXiv:2509.14548v2 Announce Type: replace Abstract: High-quality curated datasets are essential for training and evaluating AI approaches, but are often lacking…
Gatik to bring autonomous freight to PepsiCo’s North American supply chain
The partnership focuses on PepsiCo’s regional transportation networks, where it moves products daily from site to site. The post Gatik to bring autonomous freig…
Improving Robotic Generalist Policies via Flow Reversal Steering
arXiv:2606.13675v1 Announce Type: new Abstract: Generalist policies can learn a wide range of skills from diverse robot datasets. In order to solve or improve o…
FTP-1: A Generalist Foundation Tactile Policy Across Tactile Sensors for Contact-Rich Manipulation
arXiv:2606.13102v1 Announce Type: new Abstract: Despite the success of vision-based generalist robotic policies, existing tactile-based policies remain tied to …
LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition
arXiv:2606.11628v1 Announce Type: new Abstract: The most widely-adopted robot learning pipelines today learn skills from robot demonstrations or structured huma…
Point Cloud Segmentation for Autonomous Clip Positioning in Laparoscopic Cholecystectomy on a Phantom
arXiv:2606.12048v1 Announce Type: new Abstract: High-risk applications in robotics, such as robot-assisted surgery, present unique challenges. These systems mus…
SR-LIO++: LiDAR-Inertial Odometry and Quantized Mapping with Caching-Aware Sweep Reconstruction
arXiv:2503.22926v3 Announce Type: replace Abstract: Addressing the inherent low acquisition frequency limitation of 3D LiDAR to achieve high-frequency output ha…
Consensus-based optimization (CBO): Towards Global Optimality in Robotics
arXiv:2602.06868v2 Announce Type: replace Abstract: Zero-order optimization has recently received significant attention for designing optimal trajectories and p…
Fast-SDE: Efficient Single-Microphone Sound Source Distance Estimation in Reverberant Environments
arXiv:2606.12339v1 Announce Type: cross Abstract: Sound source distance estimation (SDE) is a critical capability in human-robot interaction. An inappropriate i…
KinematicRL: A Sim-to-Real Reinforcement Learning Framework For Social Navigation With Kinodynamic Feasibility
arXiv:2606.12042v1 Announce Type: new Abstract: Deep Reinforcement Learning (DRL) has shown promise for social navigation, yet its real-world deployment remains…
NEURA Robotics to raise up to $1.4B in Series C funding for physical AI
NEURA Robotics plans to expand its platforms for robot learning and global production of humanoids and other systems. The post NEURA Robotics to raise up to $1.…
How can robots acquire skills through interactions with the physical world? An interview with Jiaheng Hu
One of the key challenges in building robots for household or industrial settings is the need to master the control of high-degree-of-freedom systems such as mo…
ChatGPT as a therapist? New study reveals serious ethical risks
As millions turn to ChatGPT and other AI chatbots for therapy-style advice, new research from Brown University raises a serious red flag: even when instructed t…
Back to school: robots learn from factory workers
By Anthony King What if training a robot to handle dirty, dangerous work on the factory floor was as simple as showing it how? Czech startup RoboTwin is doing e…
Autonomous defense manufacturer Mach Industries raises $300M
Mach Industries will use the funding to accelerate executing government contracts, acquire talent, develop products, and expand its network. The post Autonomous…