Estimating part tolerance bounds based on adaptive Cloud-based grasp planning with slip. - Ben Kehoe; Dmitry Berenson; Ken Goldberg (CASE, 2012)

Toward cloud-based grasping with uncertainty in shape: Estimating lower bounds on achieving force closure with zero-slip push grasps. - Ben Kehoe; Dmitry Berenson; Ken Goldberg (ICRA, 2012)

Cloud-based robot grasping with the google object recognition engine. - Ben Kehoe; Akihiro Matsukawa; Sal Candido; James Kuffner; Ken Goldberg (ICRA, 2013)

Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression. - Jeffrey Mahler; Sanjay Krishnan; Michael Laskey; Siddarth Sen; Adithyavairavan Murali; Ben Kehoe; Sachin Patil; Jiannan Wang 001; Mike Franklin; Pieter Abbeel; Kenneth Y. Goldberg (CASE, 2014)

Autonomous multilateral debridement with the Raven surgical robot. - Ben Kehoe; Gregory Kahn; Jeffrey Mahler; Jonathan Kim; Alex X. Lee; Anna Lee; Keisuke Nakagawa; Sachin Patil; W. Douglas Boyd; Pieter Abbeel; Kenneth Y. Goldberg (ICRA, 2014)

Cloud-based Methods and Architectures for Robot Grasping - Ben Kehoe (2014)

GP-GPIS-OPT: Grasp planning with shape uncertainty using Gaussian process implicit surfaces and Sequential Convex Programming. - Jeffrey Mahler; Sachin Patil; Ben Kehoe; Jur van den Berg; Matei T. Ciocarlie; Pieter Abbeel; Ken Goldberg (ICRA, 2015)

Learning by observation for surgical subtasks: Multilateral cutting of 3D viscoelastic and 2D Orthotropic Tissue Phantoms. - Adithyavairavan Murali; Siddarth Sen; Ben Kehoe; Animesh Garg; Seth McFarland; Sachin Patil; W. Douglas Boyd; Susan Lim; Pieter Abbeel; Kenneth Y. Goldberg (ICRA, 2015)

A Survey of Research on Cloud Robotics and Automation. - Ben Kehoe; Sachin Patil; Pieter Abbeel; Ken Goldberg (IEEE Trans Autom. Sci. Eng., 2015)

Cloud-Based Grasp Analysis and Planning for Toleranced Parts Using Parallelized Monte Carlo Sampling. - Ben Kehoe; Deepak Warrier; Sachin Patil; Ken Goldberg (IEEE Trans Autom. Sci. Eng., 2015)

Serverless: From Bad Practices to Good Solutions. - Davide Taibi 001; Ben Kehoe; Danilo Poccia (SOSE, 2022)