Amir-Hossein Shahidzadeh

Papers

Total Citations

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About

Amir-Hossein Shahidzadeh is a robotics researcher advancing the frontier of tactile perception and autonomous manipulation. His work centers on enabling robots to intelligently explore and understand unknown objects through touch—a critical capability for dexterous grasping and real-world interaction. His most cited paper, “AcTExplore: Active Tactile Exploration on Unknown Objects” (2024), introduces a novel framework that guides tactile sensors to efficiently probe unfamiliar environments, overcoming the challenge of limited sensing coverage in large-scale, unknown spaces. This contribution directly addresses a fundamental bottleneck in robotic manipulation: how to gather sufficient tactile data without exhaustive, time-consuming exploration. With 13 citations already, this early-career work signals strong impact in the robotics community. Shahidzadeh’s research sits at the intersection of active perception, tactile sensing, and robot learning, offering practical pathways for robots to handle objects they have never encountered before. His achievements are particularly notable for integrating exploration strategies with real-world sensor constraints, making his work valuable for both academic researchers and engineers developing next-generation robotic systems for manufacturing, healthcare, and service robotics.