Andreas Stolt
Papers
19
Total Citations
482
H-Index
12
About
Andreas Stolt is a robotics researcher whose work sits at the intersection of industrial automation, force control, and human-robot collaboration. Based at a leading Swedish research institution, Stolt has made significant contributions to making industrial robots smarter, safer, and more adaptable to real-world manufacturing environments. His most influential work, "Force Controlled Robotic Assembly without a Force Sensor" (2012, 96 citations), tackled a fundamental challenge in industrial robotics: enabling precise assembly operations without expensive dedicated sensors. By leveraging motor torques and sophisticated friction modeling—explored further in subsequent papers accumulating over 78 additional citations—Stolt developed practical alternatives that lower cost barriers while maintaining control quality. Stolt's research consistently bridges theory and application, demonstrated through hands-on studies like force-controlled emergency stop button assembly and deburring of castings. His investigations into contact force transient detection and lead-through programming have advanced intuitive robot deployment in rapidly changing production settings. Notably, his work on reactive task adaptation and hierarchical constraints classification (2015, 39 citations) has pushed boundaries in safe human-robot collaboration, addressing how robots can intelligently respond to dynamic environments alongside human workers. With nearly 400 cumulative citations, Stolt's portfolio represents a coherent, impactful body of work that continues to shape flexible, sensor-efficient, and collaborative industrial robotics.
Research Focus
Key Achievements
Top Papers
- 1Force controlled robotic assembly without a force sensor96 citations · 2012
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- 5Force controlled assembly of emergency stop button35 citations · 2011
- 6Detection of contact force transients in robotic assembly31 citations · 2015
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- 9On force control for assembly and deburring of castings21 citations · 2013
- 10From High-Level Task Descriptions to Executable Robot Code18 citations · 2014