Michael Brenner
Papers
12
Total Citations
457
H-Index
9
About
Michael Brenner is a leading researcher in artificial intelligence, robotics, and cognitive systems, with a focus on enabling autonomous agents to reason, plan, and interact intelligently in complex, real-world environments. His most influential work centers on the concept of *semantic attachments* for domain-independent planning, a breakthrough that allows symbolic planners to efficiently handle subproblems—such as robotic manipulation—that cannot be adequately represented in purely logical terms. This foundational idea, detailed in his highly cited 2012 paper (130 citations), bridges the gap between high-level task planning and low-level geometric reasoning. Brenner has also made significant contributions to human-robot interaction, developing frameworks that allow robots to interpret and execute spoken commands by mediating between qualitative human language and quantitative spatial representations. His work on integrating multiple cognitive functions in robots, as seen in his 2007 paper (59 citations), and on self-understanding and autonomous goal generation, demonstrates a sustained commitment to building systems that are not only reactive but also introspective and adaptive. With over 400 total citations, Brenner’s research continues to shape the fields of cognitive robotics and integrated intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1Semantic Attachments for Domain-Independent Planning Systems130 citations · 2012
- 2Semantic Attachments for Domain-Independent Planning Systems79 citations · 2009
- 3Towards an integrated robot with multiple cognitive functions59 citations · 2007
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- 6A Framework for Goal Generation and Management33 citations · 2010
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- 8Integrating task and motion planning using semantic attachments15 citations · 2010
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- 10Planning and Acting with an Integrated Sense of Space9 citations · 2009