Papers
1
Total Citations
27
H-Index
1
About
David Wedlock is a roboticist whose research centers on bridging the gap between simulation and reality in robotic manipulation. His most impactful contribution, the 2019 paper "Benchmarking Simulated Robotic Manipulation Through a Real World Dataset" (27 citations), directly tackles the reproducibility crisis in robotics by providing a standardized, real-world ground truth dataset for simulated manipulation tasks. This work offers researchers a rigorous protocol to evaluate their algorithms, moving beyond the limitations of purely physical benchmarks. Wedlock’s approach is foundational for developing more reliable and transferable robotic systems, enabling fair comparisons across different simulated environments. By prioritizing empirical validation and open benchmarking, his research has become a key reference for those working to make simulated manipulation more predictive of real-world performance.
Research Focus
Key Achievements
Top Papers
- 1Benchmarking Simulated Robotic Manipulation Through a Real World Dataset27 citations · 2019