PLUS Final Draft - Sachin

Source URL: citiesandschools.berkeley.edu

• Education economics
• Susquehanna Valley
• Competition
• Education policy
• School choice
• Charter schools in the United States
• American Indian Model Schools

Application of Sixth Sense technology in Prevention and Delay of the Progress of the Alzheimer’s disease Shraddha Satish Thumsi1. , Mohit Chugh2, Dr Sachin Suresh Jadhav3 1 Department of Computer Science, Vellore Inst

Source URL: aiia2014.di.unipi.it

• Ambient intelligence
• Internet of Things
• Wearable technology
• Clamp

Learning by Observation for Surgical Subtasks: Multilateral Cutting of 3D Viscoelastic and 2D Orthotropic Tissue Phantoms Adithyavairavan Murali1 *, Siddarth Sen1 *, Ben Kehoe2 , Animesh Garg3 , Seth McFarland2 , Sachin

Source URL: goldberg.berkeley.edu

• Medicine
• Surgery
• Health care
• Clinical medicine
• Computer-assisted surgery
• Health informatics
• Telehealth
• Robot kinematics
• Robotics
• Robot-assisted surgery
• Intuitive Surgical
• Da Vinci Surgical System

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

Study of combustion of coal with magnegas as additive for improved combustion efficiency: A review of present scenario and future scope1) Sachin S. Wazalwar, Vijay M. Tangde, and Anil A. Bhalekar Citation: AIP Conference

Source URL: www.santilli-foundation.org

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

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

The Platform Laboratory at Stanford University John Ousterhout, Sachin Katti, Christos Kozyrakis, Phil Levis, Nick McKeown, Guru Parulkar, and Mendel Rosenblum March 3, 2015 Department of Computer Science

Source URL: platformlab.stanford.edu

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