Papers

2

Total Citations

3

H-Index

1

About

Shridhar Velhal is a robotics researcher whose work lies at the intersection of multi-robot coordination, task planning, and autonomous construction. His primary research areas include spatio-temporal task assignment, collision-free trajectory generation, and heterogeneous robot team collaboration. Velhal’s most notable contribution is his work on the music-playing robot problem, a benchmark for spatio-temporal multi-task assignments, where he developed a non-iterative algorithm that computes collision-free trajectories for dynamically-sized robot teams. This work, published in 2023, has garnered 2 citations and showcases his ability to tackle complex, time-sensitive coordination challenges. More recently, in 2025, Velhal introduced a novel safety-aware optimal scheduling framework for autonomous masonry construction using heterogeneous aerial robots—a system where specialized agents handle brick placement and mortar application separately. This paper, with 1 citation, addresses critical challenges in high-level task planning and coordination for real-world construction scenarios. Velhal’s research is particularly impactful for students and researchers interested in multi-agent systems, autonomous robotics, and the practical deployment of robot teams in dynamic environments. His work demonstrates a clear trajectory from theoretical benchmarks to applied, safety-critical systems.

Research Focus

Key Achievements

1
H-Index
2
Papers
3
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A Non-iterative Spatio-temporal Multi-task Assignments based Collision-free Trajectories for Music Playing Robots
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Indian Institute of Science Bangalore, Luleå University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 22 days ago