Experts
EN·Also available in French — switch via the flag
K
Expert
Ken Goldberg
Robot LearningRobotic ManipulationWarehouse RoboticsHuman-Robot CollaborationAutomation
About
Ken Goldberg is a professor and distinguished chair at UC Berkeley and Chief Scientist at Ambi Robotics. His research covers robot learning, manipulation, grasping, automation and logistics robotics.
His work advances robotic manipulation under real-world variability.
Dataleo perspective
Robotic manipulation must be evaluated through item coverage, grasp success, recovery behavior, safety and sustained throughput.
Operators need confidence thresholds and manual exception paths before warehouse robotics is integrated into critical flows.
Related content
Around Ken Goldberg (12)
- newsGeek+ H1 orders rise 35.5% as warehouse robotics roadmap shifts toward embodied intelligence2026-08-28
- insightsThe real AI advantage in fulfillment is decision quality2026-08-25
- alertsNOMINATION: Robust.AI appoints Marin Tchakarov CEO as Carter deployments scale2026-08-17
- jobsSpecialist, Supply Chain Management Data & Innovation2026-08-12
- insightsWarehouse-automation procurement is entering a proof-at-scale phase2026-07-25
- alertsEVENT: Geek+ and S&S Activewear open an automated distribution centre for a live operational tour2026-07-23
- alertsEVENT: Advanced Manufacturing Summit runs July 9–112026-07-10
- alertsEVENT: SAP hosts AI-powered Supply Chain operating-model session2026-07-07
- alertsEVENT: ARC Industry Leadership Forum Asia opens in Tokyo2026-07-07
- insightsWarehouse-robot selection should start with operating conditions2026-07-02
- insightsGenAI lowers the automation threshold, but error economics determine what should be automated2026-06-30
- alertsEVENT: CILT Hong Kong examines practical AI applications in supply chains2026-06-29