Animesh Singh Kumawat
Papers
1
Total Citations
3
H-Index
1
About
Animesh Singh Kumawat investigates the neural and perceptual mechanisms underlying human motor control, with a particular focus on how the brain detects and corrects errors during reaching movements. His work bridges vision, proprioception, and efference copy—the internal signals that accompany self-generated actions. In his most cited paper, “Detecting Endpoint Error of an Ongoing Reaching Movement: the Role of Vision, Proprioception, and Efference” (2021, 3 citations), Kumawat systematically examined whether brief visual feedback alone is sufficient for endpoint error detection, or whether it depends on proprioceptive and efferent signals. His findings revealed that error detection is not solely reliant on vision; rather, it integrates multiple sensory and motor sources, offering a more nuanced understanding of online movement correction. This contribution is significant for fields ranging from rehabilitation robotics to human-computer interaction, where real-time error feedback is critical. Though early in his career, Kumawat’s work demonstrates a rigorous experimental approach to sensorimotor integration, laying groundwork for future studies on adaptive motor learning and prosthetic control.
Research Focus
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Top Papers
- 1