What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Algorithm
Design for manufacturability, Engineering drawing, Manufacturing engineering, Algorithm and Optical tweezers are his primary areas of study.
His research in Design for manufacturability intersects with topics in Computer-aided manufacturing, Computer-integrated manufacturing, Defect free and Engineering design process.
His study looks at the relationship between Engineering drawing and fields such as Computer Aided Design, as well as how they intersect with chemical problems.
His research integrates issues of Concurrent engineering, Mechanical engineering, Conceptual design, Systems engineering and Manufacturing firms in his study of Manufacturing engineering.
Satyandra K. Gupta has researched Algorithm in several fields, including Object, Computer vision, Artificial intelligence and Mold.
He interconnects Microfluidics, Simulation, Motion planning and Robustness in the investigation of issues within Optical tweezers.
His most cited work include:
- A Survey of Shape Similarity Assessment Algorithms for Product Design and Manufacturing Applications (178 citations)
- A survey of CAD model simplification techniques for physics-based simulation applications (139 citations)
- Automated manufacturability analysis: a survey (137 citations)
What are the main themes of his work throughout his whole career to date?
Satyandra K. Gupta focuses on Robot, Artificial intelligence, Engineering drawing, Mechanical engineering and Manufacturing engineering.
His Robot study integrates concerns from other disciplines, such as Control engineering, Simulation, Task and Human–computer interaction.
His Artificial intelligence research includes elements of Machine learning and Computer vision.
As part of one scientific family, Satyandra K. Gupta deals mainly with the area of Engineering drawing, narrowing it down to issues related to the Algorithm, and often Object.
His Manufacturing engineering research incorporates themes from Automation and Design for manufacturability.
The Design for manufacturability study combines topics in areas such as Computer-aided manufacturing and Computer-integrated manufacturing.
He most often published in these fields:
- Robot (16.44%)
- Artificial intelligence (14.44%)
- Engineering drawing (11.78%)
What were the highlights of his more recent work (between 2015-2021)?
- Robot (16.44%)
- Artificial intelligence (14.44%)
- Control engineering (7.78%)
In recent papers he was focusing on the following fields of study:
His main research concerns Robot, Artificial intelligence, Control engineering, Trajectory and Real-time computing.
His Robot research is multidisciplinary, relying on both Mechanical engineering, Task, Human–computer interaction and Plan.
His work in the fields of Artificial intelligence, such as Robotics, intersects with other areas such as User interface.
His studies deal with areas such as Grippers, Degrees of freedom, Engineering drawing and Bin picking as well as Robotics.
His Control engineering study which covers Robot end effector that intersects with Control theory.
His Real-time computing research includes elements of Trajectory planning, Computation, Decomposition and Task.
Between 2015 and 2021, his most popular works were:
- Adaptive generation of challenging scenarios for testing and evaluation of autonomous vehicles (31 citations)
- A robotic cell for performing sheet lamination-based additive manufacturing (28 citations)
- Automated generation of diverse and challenging scenarios for test and evaluation of autonomous vehicles (25 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Robot
Satyandra K. Gupta mostly deals with Robot, Artificial intelligence, Mechanical engineering, Control engineering and Trajectory.
His Robot research is multidisciplinary, relying on both Object and Task, Systems engineering.
His work on Robotics is typically connected to User interface as part of general Artificial intelligence study, connecting several disciplines of science.
His work investigates the relationship between Robotics and topics such as Engineering drawing that intersect with problems in Computer Aided Design and Surface finishing.
When carried out as part of a general Mechanical engineering research project, his work on Robot manipulator is frequently linked to work in Lamination, therefore connecting diverse disciplines of study.
As a part of the same scientific family, Satyandra K. Gupta mostly works in the field of Control engineering, focusing on Robot end effector and, on occasion, Selection, Tree, Failure rate and Motion planning.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
