Vishal Satish

Vignana Jyothi Institute of Management — India

Engineering · Physical Sciences

6h-index852citations20works0.72yr avg
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Research Topics

Robot Manipulation and Learning(11), Soft Robotics and Applications(7), Robotic Path Planning Algorithms(5), Robotics and Sensor-Based Localization(3), Reinforcement Learning in Robotics(3)

Publications20 total

Flight Price Prediction using Machine Learning
International Journal for Research in Applied Science and Engineering Technology·2025Open Access
Data Center Networking Using Dynamic Scaling on Spine-Leaf Architecture
Lecture notes in networks and systems·2025
Forecasting Global Recession and It’s Likely Fallout on India’s Economy Using Machine Learning Techniques
2024· 2 cited
Cooperating Graph Neural Networks with Deep Reinforcement Learning for Vaccine Prioritization
arXiv (Cornell University)·2023Open Access
Mechanical Search on Shelves using Lateral Access X-RAY
CaltechAUTHORS (California Institute of Technology)·2021· 1 cited
Mechanical Search on Shelves using Lateral Access X-RAY
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)·2021· 21 cited
AVPLUG: Approach Vector PLanning for Unicontact Grasping amid Clutter
2021· 3 cited
Mechanical Search on Shelves using Lateral Access X-RAY
arXiv (Cornell University)·2020· 2 citedOpen Access
Deep learning can accelerate grasp-optimized motion planning
Science Robotics·2020· 66 cited
Accelerating Grasp Exploration by Leveraging Learned Priors
arXiv (Cornell University)·2020Open Access
Industrial Robot Grasping with Deep Learning using a Programmable Logic Controller (PLC)
2020· 2 citedOpen Access
Accelerating Grasp Exploration by Leveraging Learned Priors
2020· 6 cited
GOMP: Grasp-Optimized Motion Planning for Bin Picking
2020· 50 cited
Industrial Robot Grasping with Deep Learning using a Programmable Logic\n Controller (PLC)
arXiv (Cornell University)·2020Open Access
GOMP: Grasp-Optimized Motion Planning for Bin Picking
arXiv (Cornell University)·2020· 1 citedOpen Access
On-Policy Dataset Synthesis for Learning Robot Grasping Policies Using Fully Convolutional Deep Networks
IEEE Robotics and Automation Letters·2019· 123 cited
Learning ambidextrous robot grasping policies
Science Robotics·2019· 564 cited
Wear and Sliding-Friction Characteristics of Stainless Steel SS316LN Without a Coating and With a CrN Coating at Elevated Temperatures and in a Vacuum
Metallurgist·2013· 3 cited
An architectural view of the entities required for execution of task in pervasive space
2004
A framework for resource discovery in pervasive computing for mobile aware task execution
2004· 8 cited

Frequent Co-authors

Ken Goldberg(13), Michael Danielczuk(9), Jeffrey Ichnowski(7), Marcus Dominguez-Kuhne(3), Kate Sanders(3), Anelia Angelova(3), Vincent Vanhoucke(3), Jeffrey Mahler(2), Yahav Avigal(2), Jingyi Xu(2), Huang Huang(2), K. Kalapriya(2), S. K. Nandy(2), Rohit Maheshwari(2), Han Yu Li(2), Ashwin Balakrishna(2), Eugen Solowjow(2), Ines Ugalde(2), Yash Shahapurkar(2), Jeff Mahler(2)