Bala Murali Manoghar
Papers
2
Total Citations
16
H-Index
2
About
Bala Murali Manoghar is a researcher at the forefront of socially-aware robotics, specializing in the intersection of computer vision, human-robot interaction, and affective computing. His work centers on enabling robots to navigate crowded human environments with emotional and social intelligence. Manoghar’s major contributions include pioneering algorithms that predict pedestrian intent and perceived emotions directly from gait sequences—a non-invasive, vision-based approach. In his highly cited work, *EWareNet* (2023, 11 citations), he introduced a system that fuses emotion-aware pedestrian intent prediction with adaptive spatial profiles, allowing robots to navigate proactively while respecting social and proxemic norms. His earlier foundational paper, *ProxEmo* (2020, 5 citations), established a multi-view proxemic fusion framework for emotion-guided navigation, demonstrating how perceived emotions from walking gaits can inform robot path planning. These contributions are critical for developing robots that can operate seamlessly in public spaces like airports, hospitals, and shopping malls. By bridging the gap between raw sensor data and high-level social cues, Manoghar’s work is shaping a future where robots are not just collision-avoidant but genuinely context-aware and socially considerate.
Research Focus
Key Achievements
Top Papers
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