Shaurya Shriyam

About

Shaurya Shriyam’s research lies at the intersection of robotics, perception, and human-robot collaboration, with a focus on making autonomous systems robust enough for real-world manufacturing and logistics. His most influential work tackles the persistent challenge of perception uncertainty in robotic bin-picking—a critical task in automated assembly lines. In his highly cited 2016 paper (40 citations), he systematically identified failure modes caused by unreliable sensor data and proposed strategies to mitigate them. Shriyam further advanced this area by designing frameworks that allow robots to call upon remote human operators when automated perception fails, blending autonomy with human oversight to maintain productivity. Beyond bin-picking, he has made notable contributions to multi-robot task allocation, developing algorithms that incorporate contingency tasks for complex logistics missions (29 citations). His work on an ontology for optimized task partitioning in human-robot warehouse kitting (12 citations) provides a structured approach to improving collaboration between humans and mobile robots. Shriyam’s research portfolio also includes bio-inspired robotics, such as an alligator-inspired robot with eight degrees of freedom, demonstrating his versatility. With over 130 total citations across his top papers, Shriyam’s work continues to influence the design of resilient, human-aware robotic systems for industrial applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Addressing perception uncertainty induced failure modes in robotic bin-picking

   40 citations · 2016
2. 2
   Incorporation of Contingency Tasks in Task Allocation for Multirobot Teams

   29 citations · 2019
3. 3
   An ontology to enable optimized task partitioning in human-robot collaboration for warehouse kitting operations

   12 citations · 2015
4. 4
   Resolving automated perception system failures in bin-picking tasks using assistance from remote human operators

   10 citations · 2015
5. 5
   Design, Fabrication and Gait Planning of Alligator-inspired Robot

   9 citations · 2010
6. 6
   Enhancing robotic unstructured bin-picking performance by enabling remote human interventions in challenging perception scenarios

   9 citations · 2016
7. 7
   Planning algorithms for multi-setup multi-pass robotic cleaning with oscillatory moving tools

   8 citations · 2016
8. 8
   Task Assignment and Scheduling for Mobile Robot Teams

   7 citations · 2018
9. 9
   Robotic Fish Design and Control based on Biomechanics

   7 citations · 2014
10. 10
    Resolving Occlusions Through Simple Extraction Motions in Robotic Bin-Picking

    7 citations · 2016

Key Collaborators

Contact & Links