What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mathematical analysis
- Statistics
Gregory S. Chirikjian mainly focuses on Control theory, Kinematics, Robot, Artificial intelligence and Motion planning.
His studies deal with areas such as Robot kinematics, Inverse kinematics, Large numbers and Differential equation as well as Control theory.
His biological study spans a wide range of topics, including Calculus of variations, Mathematical analysis, Simulation, Switched reluctance motor and Magnet.
Gregory S. Chirikjian combines subjects such as Control engineering and Topology with his study of Robot.
His research integrates issues of Algorithm and Computer vision in his study of Artificial intelligence.
His work deals with themes such as Exponential map and Nonholonomic system, which intersect with Motion planning.
His most cited work include:
- Modular Self-Reconfigurable Robot Systems [Grand Challenges of Robotics] (670 citations)
- Nonholonomic Modeling of Needle Steering (526 citations)
- A modal approach to hyper-redundant manipulator kinematics (400 citations)
What are the main themes of his work throughout his whole career to date?
Gregory S. Chirikjian focuses on Artificial intelligence, Robot, Kinematics, Control theory and Algorithm.
His Robotics and Robustness study in the realm of Artificial intelligence connects with subjects such as Terrain.
His Robot study integrates concerns from other disciplines, such as Control engineering and Orientation.
His research investigates the connection with Kinematics and areas like Motion which intersect with concerns in Group.
His Control theory study combines topics from a wide range of disciplines, such as Workspace, Inverse kinematics and Motion planning.
His work in Algorithm covers topics such as Probability density function which are related to areas like Gaussian and Convolution.
He most often published in these fields:
- Artificial intelligence (25.06%)
- Robot (22.01%)
- Kinematics (21.55%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (25.06%)
- Robot (22.01%)
- Computer vision (11.71%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial intelligence, Robot, Computer vision, Kinematics and Algorithm.
His work in Artificial intelligence addresses issues such as Pattern recognition, which are connected to fields such as Machine translation, Pixel and Curvature.
His studies in Robot integrate themes in fields like Automation, Orientation, Position and Human–computer interaction.
His Kinematics research is multidisciplinary, incorporating elements of Mathematical analysis and Topology.
His Algorithm research incorporates themes from Reliability and Interval.
The concepts of his Control theory study are interwoven with issues in Lift and Lift.
Between 2017 and 2021, his most popular works were:
- Deployable parallel lower-mobility manipulators with scissor-like elements (14 citations)
- Deployable parallel lower-mobility manipulators with scissor-like elements (14 citations)
- Probabilistic approaches to the ( AXB = YCZ ) calibration problem in multi-robot systems (10 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Mathematical analysis
Artificial intelligence, Algorithm, Kinematics, Robot and Topology are his primary areas of study.
Gregory S. Chirikjian has included themes like Automation and Computer vision in his Artificial intelligence study.
His Algorithm research includes elements of Group theory, Reliability, Discretization and Homogeneous space.
The various areas that he examines in his Kinematics study include Motion, Three degrees of freedom, Degrees of freedom, Planar and Stiffness.
Gregory S. Chirikjian works mostly in the field of Robot, limiting it down to topics relating to Orientation and, in certain cases, Affordance and Human–computer interaction, as a part of the same area of interest.
The Topology study combines topics in areas such as Work, Workspace, Gravitational singularity and Degrees of freedom.
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