A new story from Berkeley Engineering highlights research at UC Berkeley focused on improving the safety and efficiency of autonomous robotic systems.
Led by Assistant Professor Negar Mehr and her team, the research explores how advanced control systems can help robots make better decisions in uncertain and dynamic environments. Rather than operating in controlled settings, the goal is to develop robots that can function safely and reliably in real-world conditions, particularly when interacting with people.
Key highlights:
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The research focuses on improving decision-making in complex, unpredictable environments
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New methods aim to balance efficiency with safety in autonomous systems
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The work emphasizes human-centered design, enabling safer interaction between robots and people
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Applications include transportation, manufacturing, and other real-world settings where autonomy is rapidly expanding
As autonomous technologies continue to evolve, ensuring that these systems behave predictably and safely is a critical challenge. This work contributes to a growing effort to make intelligent systems more adaptable, trustworthy, and practical for everyday use.
Read the full story from Berkeley Engineering: https://engineering.berkeley.edu/news/2026/03/developing-a-safer-more-efficient-autonomous-robot/