How lost "passenger" ants find their way home
Srinivasan, Mandyam V. (2017) How lost "passenger" ants find their way home. Learning and Behavior, 1-2. doi:10.3758/s13420-017-0275-0

Optic flow
M.V. Srinivasan (2017) Optic flow. In: J. Vonk, T.K. Shackelford (eds.), Encyclopedia of Animal Cognition and Behavior. https://doi.org/10.1007/978-3-319-47829-6_1299-1, Springer International Publishing AG.

Comparison of visually guided flight in insects and birds
Altshuler, Douglas L. and Srinivasan, Mandyam V. (2018) Comparison of visually guided flight in insects and birds. Frontiers in Neuroscience12 157. doi:10.3389/fnins.2018.00157

TCM: a vision-based algorithm for distinguishing between stationary and moving objects irrespective of depth contrast from a UAS
Strydom, Reuben, Thurrowgood, Saul, Denuelle, Aymeric and Srinivasan, Mandyam V. (2016) TCM: a vision-based algorithm for distinguishing between stationary and moving objects irrespective of depth contrast from a UAS. International Journal of Advanced Robotic Systems13 3: . doi:10.5772/62846

A sparse snapshot-based navigation strategy for UAS guidance in natural environments
Denuelle, Aymeric and Srinivasan, Mandyam V. (2016). A sparse snapshot-based navigation strategy for UAS guidance in natural environments. In: 2016 IEEE International Conference on Robotics and Automation (ICRA). IEEE International Conference on Robotics and Automation, Stockholm, Sweden, (3455-3462). 16-21 May 2016. doi:10.1109/ICRA.2016.7487524

Anticipatory manoeuvres in bird flight
Vo, Hong D., Schiffner, Ingo and Srinivasan, Mandyam V. (2016) Anticipatory manoeuvres in bird flight. Scientific Reports6 27591: 1-8. doi:10.1038/srep27591

Budgerigar flight in a varying environment: flight at distinct speeds?
Schiffner, Ingo and Srinivasan, Mandyam V. (2016) Budgerigar flight in a varying environment: flight at distinct speeds?. Biology Letters12 6: 1-4. doi:10.1098/rsbl.2016.0221

WHoG: a weighted HOG-based scheme for the detection of birds and identification of their poses in natural environments
Karmaker, Debajyoti, Schiffner, Ingo, Strydom, Reuben and Srinivasan, Mandyam V (2017). WHoG: a weighted HOG-based scheme for the detection of birds and identification of their poses in natural environments. In: 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016. 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016, Phuket, Thailand, (). 13 - 15 November 2016. doi:10.1109/ICARCV.2016.7838650

A mid-air collision warning system: vision-based estimation of collision threats for aircraft
Gunasinghe, Dasun, Strydom, Reuben and Srinivasan, Mandyam V. (2016). A mid-air collision warning system: vision-based estimation of collision threats for aircraft. In: ACRA 2016: Australasian Conference on Robotics and Automation. Australasian Conference on Robotics and Automation, Brisbane, QLD, Australia, (). 5-7 December 2016.

Strategies for pre-emptive mid-air collision avoidance in budgerigars
Schiffner, Ingo, Perez, Tristan and Srinivasan, Mandyam V. (2016) Strategies for pre-emptive mid-air collision avoidance in budgerigars. PLoS One11 9: . doi:10.1371/journal.pone.0162435

In search of evidence for the experience of pain in honeybees: a self-administration study
Groening, Julia, Venini, Dustin and Srinivasan, Mandyam V. (2017) In search of evidence for the experience of pain in honeybees: a self-administration study. Scientific Reports7 . doi:10.1038/srep45825

Obstacle traversal and route choice in flying honeybees: Evidence for individual handedness
Ong, Marielle, Bulmer, Michael, Groening, Julia and Srinivasan, Mandyam V (2017) Obstacle traversal and route choice in flying honeybees: Evidence for individual handedness. PloS one12 11: 1-25. doi:10.1371/journal.pone.0184343

UAS stealth: target pursuit at constant distance using a bio-inspired motion camouflage guidance law
Strydom, Reuben and Srinivasan, Mandyam V. (2017) UAS stealth: target pursuit at constant distance using a bio-inspired motion camouflage guidance law. Bioinspiration and Biomimetics, . doi:10.1088/1748-3190/aa7d65

A strategy for mid-air collision avoidance: Speed modulation to increase minimum separation using a mutually independent and mutually beneficial technique
D. Gunasinghe and M.V. Srinivasan (2017) A strategy for mid-air collision avoidance: Speed modulation to increase minimum separation using a mutually independent and mutually beneficial technique. Paper 139, Proceedings, 2017 IEEE International Conference on Robotics and Biomimetics, Macau SAR, China.

Neural basis of forward flight control and landing in honeybees
Ibbotson, M R, Hung, Y-S, Meffin, H, Boeddeker, N and Srinivasan, M V (2017) Neural basis of forward flight control and landing in honeybees. Scientific reports7 1: 1-15. doi:10.1038/s41598-017-14954-0

A generalized algorithm for tuning UAS flight controllers
H. Wright, R. Strydom and M.V. Srinivasan (2018) A generalized algorithm for tuning UAS flight controllers.  Proceedings, 2018 International Conference on Unmanned Aircraft Systems, Dallas, Tx, USA,  June 12-15.

A mid-air collision warning system: Performance comparison using simulated ADS-B, radar and vision sensor inputs
D. Gunasinghe, K.K.K. Lawson, R. Strydom and M.V. Srinivasan (2018) A mid-air collision warning system: Performance comparison using simulated ADS-B, radar and vision sensor inputs. Proceedings, 2018 International Conference on Unmanned Aircraft Systems, Dallas, Tx, USA,  June 12-15.

Vision-only egomotion estimation in 6DOF using a sky compass
T. Jouir, R. Strydom, T.M. Stace and M.V. Srinivasan (2018) Vision-only egomotion estimation in 6DOF using a sky compass. Robotica 36, 1571-1589.

Effects of cold anaesthesia on the defensive behaviour of honeybees
Groening, J., Venini, D. and Srinivasan, M. V. (2018) Effects of cold anaesthesia on the defensive behaviour of honeybees. Insectes Sociaux, . doi:10.1007/s00040-018-0620-0