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Adrianto Ravi Ibrahim is a robotics researcher whose work bridges human-robot interaction, multi-robot coordination, and cloud-based systems. His most cited paper, "Analytical Upper Body Human Motion Transfer to Naohumanoid Robot" (2012, 8 citations), introduces an analytical inverse kinematics method that uses a normalized humanoid model to transfer human upper-body motion to humanoid robots—a foundational contribution to intuitive teleoperation and humanoid control. In multi-robot systems, Ibrahim has made significant strides with "Distributed formation control of multi-robot system with obstacle avoidance" (2013, 6 citations), where he designed a three-layer consensus-based formation control law with displacement-based strategy, enabling robust coordination while avoiding obstacles. His work on "Implementation of Entertaining Robot on ROS Framework" (2013, 5 citations) explores cloud robotics for tourism, proposing a service-oriented architecture that offloads complex processing to the cloud—a forward-looking concept in the era of IoT. Ibrahim’s research is characterized by its practical integration of analytical methods, distributed algorithms, and cloud architectures, with cumulative citations exceeding 28. His contributions to humanoid motion transfer and formation control have influenced subsequent work in human-robot collaboration and swarm robotics, making him a notable figure in applied robotics.