Alishba Imran

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About

Alishba Imran is a roboticist pushing the boundaries of humanoid manipulation and accessible hardware design. Her research focuses on the intersection of reinforcement learning, neuro-symbolic AI, and open-source robotics to create more capable, humanlike, and democratized robotic systems. Imran is best known for her work on the "Open Arms" platform, an open-source framework featuring 28-degree-of-freedom robotic hands and arms, designed to lower the barrier to entry for advanced grasping and manipulation research. She also developed a neuro-symbolic arm controller for Sophia the Robot, integrating convolutional neural networks with symbolic AI for logical control and affordance indexing. Her chapter on "Reinforcement Learning and Control" (6 citations) provides a foundational overview of RL methods for autonomous skill acquisition, covering MDPs and model-based approaches. With her work garnering early citations and her contributions to open-source hardware and humanoid control, Alishba Imran is establishing herself as a rising voice in accessible, intelligent robotics.