Топ-10 конкурентов forcen.tech

bostondynamics.com

Boston Dynamics is in search of team members who revel in robotics. Find an open role and start your career with us today.

novarctech.com

Harder Mechanical is a nationally recognized contractor with an outstanding reputation. They were looking at welding automation options and discovered Novarc Technologies.

sereact.ai

Automated returns handling with dual-arm robotic stations powered by Cortex. Inspect, classify, and sort returned items in live warehouse production.

mujin-corp.com

Mujin builds intelligent robotics software for factories and warehouses. MujinOS enables no-code deployment of palletizing, picking, and fleet automation.

therobotreport.com

The Robot Report provides robotics news, research, analysis and investment tracking for engineers, technology, and business professionals.

automationmag.com

Alicia Butty is a welder working at Butty Manufacturing, her family’s custom fabrication business near Brantford, Ontario. The company engineers and builds

dobot.cn

越疆机器人专注于协作机器人的研发与应用，是全球先进的智能机器人研发制造商。拥有cr、crs、mg400、m1pro、nova、magician 六大系列十余款协作机器人，覆盖 3c、汽车、半导体、化工、医疗、金属加工、食品饮料、新零售、教育等多个行业。服务热线：400-800-7266。

umi-gripper.github.io

We present Universal Manipulation Interface (UMI) -- a data collection and policy learning framework that allows direct skill transfer from in-the-wild human demonstrations to deployable robot policies. UMI employs hand-held grippers coupled with careful interface design to enable portable, low-cost, and information-rich data collection for challenging bimanual and dynamic manipulation demonstrations. To facilitate deployable policy learning, UMI incorporates a carefully designed policy interface with inference-time latency matching and a relative-trajectory action representation. The resulting learned policies are hardware-agnostic and deployable across multiple robot platforms. Equipped with these features, UMI framework unlocks new robot manipulation capabilities, allowing zero-shot generalizable dynamic, bimanual, precise, and long-horizon behaviors, by only changing the training data for each task. We demonstrate UMI’s versatility and efficacy with comprehensive real-world experiments, where policies learned via UMI zero-shot generalize to novel environments and objects when trained on diverse human demonstrations.

odriverobotics.com

ODrive - High performance motor control for robotics.

synthiam.com

Better Navigator Hector SLAM-based NMS navigation that maps with LiDAR/depth, saves waypoints, plans paths and avoids obstacles for autonomous travel