Tanisha Jain

Papers

1

Total Citations

2

H-Index

1

About

Tanisha Jain is a robotics researcher whose work centers on the kinematic analysis and design innovation of industrial manipulators, with a particular focus on enhancing the versatility of traditional robotic architectures. Her most notable contribution is the development of a modified SCARA (Selective Compliance Assembly/Articulated Robot Arm) manipulator, which extends the conventional 4-DOF RRRP configuration. While standard SCARA robots are limited to pick-and-place operations with all joints parallel, Jain’s redesign introduces the capability for both horizontal and vertical drilling, significantly broadening the robot’s application scope in manufacturing. Her paper, "Modelling, Simulation and Kinematic Analysis of a Modified SCARA Manipulator (RRRRP)" (2024), has already garnered 2 citations, signaling early recognition from the robotics community. This work demonstrates her ability to bridge theoretical modeling with practical industrial needs, offering a cost-effective solution for multi-directional machining tasks. Jain’s research is particularly valuable for students and engineers exploring how minor kinematic modifications can unlock new functionalities in established robotic platforms, making her a promising voice in the field of applied robotics and automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Modelling, Simulation and Kinematic Analysis of a Modified SCARA Manipulator (RRRRP)
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago