LQG-Based Planning, Sensing, and Control of Steerable Needles Jur van den Berg1 , Sachin Patil1 , Ron Alterovitz1, Pieter Abbeel2 , Ken Goldberg2 Abstract This paper presents a technique for planning and controlling beve

Source URL: goldberg.berkeley.edu

• Control theory
• Statistics
• Systems theory
• Systems science
• Kalman filter
• LinearquadraticGaussian control
• State observer
• Normal distribution
• State-space representation
• Optimal control

Gaussian Belief Space Planning with Discontinuities in Sensing Domains Sachin Patil, Yan Duan, John Schulman, Ken Goldberg, Pieter Abbeel Abstract— Discontinuities in sensing domains are common when planning for many r

Source URL: goldberg.berkeley.edu

• Robot control
• Control theory
• Kalman filter
• Motion planning
• Partially observable Markov decision process
• Robotics
• Distribution
• Trajectory optimization

Landesdenkmalamt Berlin — Berliner DenkmaltagFrank Pieter Hesse

Source URL: www.stadtentwicklung.berlin.de

GP-GPIS-OPT: Grasp Planning With Shape Uncertainty Using Gaussian Process Implicit Surfaces and Sequential Convex Programming Jeffrey Mahler1 , Sachin Patil1 , Ben Kehoe2 , Jur van den Berg3 , Matei Ciocarlie4 , Pieter A

Source URL: goldberg.berkeley.edu

• Statistics
• Probability
• Statistical theory
• Child development
• Grasp
• Normal distribution
• Gaussian process

RANA PLAZA 3 YEARS ON: COMPENSATION, JUSTICE, WORKERS’ SAFETY Pieter van de Boogert PART 1: Justice for the Rana Plaza families .........................................................................................

Source URL: www.ci-romero.de

Transition State Clustering: Unsupervised Surgical Trajectory Segmentation For Robot Learning Sanjay Krishnan*1 , Animesh Garg*2 , Sachin Patil1 , Colin Lea3 , Gregory Hager3 , Pieter Abbeel1 , Ken Goldberg1,2 *denotes e

Source URL: goldberg.berkeley.edu

• Statistics
• Markov models
• Machine learning
• Computational statistics
• Cluster analysis
• Mixture model
• Image segmentation
• Hidden Markov model
• K-means clustering
• Expectationmaximization algorithm
• BaumWelch algorithm
• Hierarchical clustering

Gaussian Belief Space Planning for Imprecise Articulated Robots Alex Lee Sachin Patil John Schulman Zoe McCarthy Jur van den Berg Ken Goldberg Pieter Abbeel Abstract— For many emerging applications, actuators are being

Source URL: goldberg.berkeley.edu

• Statistics
• Mathematical analysis
• Probability
• Robot control
• Mathematical optimization
• Dynamic programming
• Stochastic control
• Partially observable Markov decision process
• Trajectory optimization
• Kalman filter
• Motion planning
• Normal distribution

2016 LIFESAVING WORLD CHAMPIONSHIPS INTERCLUB MASTER TEAMS: POOL EVENTS VENUE: PIETER VAN DEN HOOGENBAND POOL - EINDHOVEN DATE: FRIDAY AND SATURDAY: 2ND & 3RD SEPTEMBER COMPETITION PROGRAMME

Source URL: www.lifesaving2016.com

• Summer Olympic Games
• Olympic Games
• Swimming
• Pieter van den Hoogenband
• Surf lifesaving
• Commonwealth Pool Lifesaving Championships

EG-RRT: Environment-Guided Random Trees for Kinodynamic Motion Planning with Uncertainty and Obstacles L´eonard Jaillet, Judy Hoffman, Jur van den Berg, Pieter Abbeel, Josep M. Porta, Ken Goldberg Abstract— Existing s

Source URL: goldberg.berkeley.edu

• Robotics
• Search algorithms
• Robot navigation
• Robot kinematics
• Rapidly-exploring random tree
• Motion planning
• Kinodynamic planning
• Drug Enforcement Administration

Autonomous Multilateral Debridement with the Raven Surgical Robot Ben Kehoe1 , Gregory Kahn2 , Jeffrey Mahler2 , Jonathan Kim2 , Alex Lee2 , Anna Lee2 , Keisuke Nakagawa4 , Sachin Patil2 , W. Douglas Boyd4 , Pieter Abbee

Source URL: goldberg.berkeley.edu

• Medicine
• Robotics
• Health care
• Surgery
• Health informatics
• Computer-assisted surgery
• Telehealth
• Robot kinematics
• Robot
• Motion planning
• Remote surgery
• Articulated robot