Dr. Aniket Bera

Associate Professor

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Biography

Aniket Bera is an Associate Professor in the Department of Computer Science at Purdue University, where he leads the IDEAS Lab—Intelligent Design Exploration Augmented Systems. His research focuses on the intersection of robotics and artificial intelligence, specifically studying how embodied agents plan and collaborate safely with humans. Bera’s work emphasizes motion planning, human-robot collaboration, multi-robot coordination, and manipulation in complex dynamic environments. He utilizes computer vision and graphics/VR technologies for perception mapping and simulation. His current research includes explicit safety margins in planning, shared autonomy, and scalable multi-agent forecasting. Bera collaborates with federal partners, including the Department of Defense, and industry leaders such as Adobe Research and Intel, to translate fundamental research into practical applications. He has held leadership roles in professional communities, including serving as Senior Editor for the IEEE Robotics Automation Letters. Bera completed his Ph.D. in Computer Science at the University of North Carolina at Chapel Hill in 2017 and has received several awards for his contributions to the fields of robotics and graphics.

Research Interests

Experience

Research Assistant Professor

2017-08-01 — 2022-08-01

University of North Carolina at Chapel Hill • Chapel Hill

Conducted research in robotics and artificial intelligence, focusing on collaboration techniques and motion planning.

Associate Professor

2022-08-01 — Present

Purdue University • West Lafayette

Leads the IDEAS Lab and teaches in the Department of Computer Science, emphasizing robotic systems and human interaction.

Requirements for Purdue University

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
Duolingo
Overall Score
Required:135
Overall
Required:135
Prerequisites
Bachelor's degree in CS or related field Foundational concepts of computer science Data structures Computer architecture Operating systems Mathematics through differential equations Linear and matrix algebra
Application Checklist
  • Official Transcripts
  • Academic Statement of Purpose
  • Personal History Statement
  • Resume
  • Three Letters of Recommendation
  • CS Supplementary Form
Specialization Notes

GRE is not required.