Amar Saric

University of North Carolina at Charlotte

Papers

Total Citations

H-Index

About

Amar Saric is a robotics researcher whose work centers on the fundamental challenges of robotic assembly and manipulation, with a particular focus on bridging the gap between theoretical planning and real-world implementation. His research addresses one of the most persistent obstacles in industrial robotics: how autonomous systems can successfully perform precise assembly tasks despite inherent positional and motion uncertainty. Saric's most recognized contributions lie in compliant motion planning and contact-based control for robotic surface assembly. His 2013 paper on robotic surface assembly via contact state transitions (13 citations) advanced the field by moving beyond conventional compliant path planning to consider full task-space reasoning during mating operations. Building on this, his 2014 work on reducing uncertainty through contact information (9 citations) demonstrated how sensory feedback from physical contact can be leveraged to make flexible, general-purpose robotic assembly more reliable and cost-effective — a critical insight for small-batch manufacturing environments. Saric's research speaks directly to the growing demand for adaptable robotic systems capable of replacing rigid, hard automation in dynamic production settings. His contributions offer practical pathways toward smarter, more resilient industrial robots that learn from physical interaction rather than relying solely on pre-programmed precision.