Dieter Fox
22Patents
3h-index
38Co-inventors
55Inventor score
Filing activity: Apr 1, 2019 → Jun 12, 2023
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US11958529B2 | Controlling position of robot by determining goal proposals by using neural networks | Physics | 3 | Active |
| US11701771B2 | Grasp generation using a variational autoencoder | Physics | 3 | Active |
| US11597078B2 | Machine learning control of object handovers | Physics | 3 | Active |
| US11670001B2 | Object pose estimation | Physics | 2 | Active |
| US12122053B2 | Generating computer simulations of manipulations of materials based on machine learning from measured statistics of observed manipulations | Physics | 2 | Active |
| US11798183B2 | Machine learning techniques for predicting depth information in image data | Physics | 1 | Active |
| US11645492B2 | Model predictive control techniques for autonomous systems | Physics | 1 | Active |
| US12138805B2 | Machine learning of grasp poses in a cluttered environment | Physics | 1 | Active |
| US12299800B2 | Collision detection for object rearrangement using a 3D scene representation | Physics | 0 | Active |
| US12202147B2 | Neural networks to generate robotic task demonstrations | Physics | 0 | Active |
| US12223949B2 | Semantic rearrangement of unknown objects from natural language commands | Physics | 0 | Active |
| US12109701B2 | Guided uncertainty-aware policy optimization: combining model-free and model-based strategies for sample-efficient learning | Physics | 0 | Active |
| US12399567B2 | Vision-based teleoperation of dexterous robotic system | Physics | 0 | Active |
| US11724401B2 | Grasp determination for an object in clutter | Physics | 0 | Active |
| US12415270B2 | Neural networks to generate robotic task demonstrations | Physics | 0 | Active |
| US12420420B2 | Predicting grasp outcomes | Physics | 0 | Active |
| US11745347B2 | Method for assessing the quality of a robotic grasp on 3D deformable objects | Physics | 0 | Active |
| US11893468B2 | Imitation learning system | Physics | 0 | Active |
| US12390929B2 | Object rearrangement using learned implicit collision functions | Physics | 0 | Active |
| US12275146B2 | Simulation of tasks using neural networks | Physics | 0 | Active |
| US12403589B2 | Simulating physical interactions for automated systems | Physics | 0 | Active |
| US12318935B2 | Techniques for robot control using neural implicit value functions | Performing Operations; Transporting | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.