What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Computer network
- Mechanical engineering
Radhika Nagpal mainly investigates Distributed computing, Robot, Control engineering, Swarm behaviour and Artificial intelligence.
Her Distributed computing research includes themes of Control, Wireless sensor network and Real-time computing.
Radhika Nagpal has researched Robot in several fields, including Complex system, Computer Aided Design, Structure and Human–computer interaction.
Her research in Control engineering tackles topics such as Simulation which are related to areas like Controllability, Control theory, Actuator and Artificial muscle.
Her Swarm behaviour research incorporates elements of Robotics, Mobile robot and Personal robot.
Her study in Artificial intelligence is interdisciplinary in nature, drawing from both Telecommunications network, Algorithm and Sensor array.
Her most cited work include:
- Organizing a global coordinate system from local information on an ad hoc sensor network (676 citations)
- Programmable self-assembly in a thousand-robot swarm (532 citations)
- Amorphous computing (483 citations)
What are the main themes of her work throughout her whole career to date?
Radhika Nagpal focuses on Robot, Distributed computing, Artificial intelligence, Control engineering and Simulation.
Her research on Robot often connects related topics like Swarm behaviour.
Her Distributed computing study deals with Wireless sensor network intersecting with Algorithm.
Her work on Robotics and Collective intelligence as part of general Artificial intelligence research is frequently linked to Collective behavior, thereby connecting diverse disciplines of science.
Radhika Nagpal performs integrative study on Control engineering and Wearable computer in her works.
Her research investigates the link between Simulation and topics such as Actuator that cross with problems in Mechanical engineering.
She most often published in these fields:
- Robot (46.58%)
- Distributed computing (28.77%)
- Artificial intelligence (26.71%)
What were the highlights of her more recent work (between 2015-2021)?
- Robot (46.58%)
- Macrotermes (13.70%)
- Artificial intelligence (26.71%)
In recent papers she was focusing on the following fields of study:
Her primary scientific interests are in Robot, Macrotermes, Artificial intelligence, Humidity and Stigmergy.
Her research integrates issues of Actuator, Simulation, Fin and Human–computer interaction in her study of Robot.
Her Simulation research includes elements of Gait, Robot kinematics, Robot control, Mobile robot and Robot end effector.
Her Human–computer interaction study integrates concerns from other disciplines, such as Path and Key.
Her study on Robotics and Feature is often connected to Scale and Group decision-making as part of broader study in Artificial intelligence.
Her Stigmergy research is multidisciplinary, incorporating elements of Mining engineering and Autonomous robot.
Between 2015 and 2021, her most popular works were:
- Piggybacking Robots: Human-Robot Overtrust in University Dormitory Security (33 citations)
- A Modular Dielectric Elastomer Actuator to Drive Miniature Autonomous Underwater Vehicles (19 citations)
- Excavation and aggregation as organizing factors in de novo construction by mound-building termites. (19 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- Mechanical engineering
Radhika Nagpal mainly focuses on Robot, Artificial intelligence, Stigmergy, Excavation and Ecology.
Her work carried out in the field of Robot brings together such families of science as Simulation and Actuator.
Her biological study spans a wide range of topics, including Robot calibration, Search and rescue, Arm solution, Mobile robot and Control engineering.
The various areas that she examines in her Artificial intelligence study include Task and Task switching.
Radhika Nagpal has included themes like Construct, Curvature and Macrotermes in her Stigmergy study.
Her research in Self-organization intersects with topics in Path and Key.
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