Causal Inference for De-biasing Motion Estimation from Robotic Observational Data
Junhong Xu,Kai Yin,Jason M. Gregory,Lantao Liu,Junhong Xu,Kai Yin,Jason M. Gregory,Lantao Liu
Robot data collected in complex real-world scenarios are often biased due to safety concerns, human preferences, and mission or platform constraints. Consequently, robot learning from such observational data poses great challenges for accurate parameter estimation. We propose a principled causal inference framework for robots to learn the parameters of a stochastic motion model using observational...
