Papers
17
Total Citations
2,357
H-Index
11
About
Andrew B. Schwartz is a pioneering neuroscientist and biomedical engineer whose work sits at the intersection of motor cortex physiology, brain-computer interfaces (BCIs), and neuroprosthetic limb control. His research has fundamentally advanced our understanding of how neural signals in the motor and premotor cortex encode movement, and how those signals can be harnessed to restore function in individuals with paralysis. Schwartz's most celebrated contribution is his landmark 2008 study demonstrating that a monkey could use cortical signals alone to control a robotic arm for self-feeding — a breakthrough that garnered over 1,590 citations and captured global attention. Building on this, his lab developed increasingly sophisticated BCI systems for controlling prosthetic arms in three-dimensional space, eventually translating these methods to human patients with tetraplegia, as detailed in his widely recognized 2013 collaborative translation study. His work on blending direct neural control with vision-guided autonomy has further improved grasping reliability, addressing the inherent noise in BCI signals. Beyond hardware, Schwartz has made important methodological contributions, rigorously examining algorithmic biases and the critical differences between open-loop simulations and real-time closed-loop BCI performance. His body of work has collectively shaped the modern neuroprosthetics field and continues to accelerate the path toward clinically viable neural-controlled robotic limbs.
Research Focus
Key Achievements
Top Papers
- 1Cortical control of a prosthetic arm for self-feeding1,590 citations · 2008
- 2Information conveyed through brain-control: cursor versus robot150 citations · 2003
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- 8Autonomy Infused Teleoperation with Application to BCI Manipulation46 citations · 2015
- 9Statistical Signal Processing and the Motor Cortex29 citations · 2007
- 10Autonomy Infused Teleoperation with Application to BCI Manipulation18 citations · 2015