Ongoing Research and Under Review Publications

• (Ongoing work) Shashank Shekhar, Laurent Jeanpierre, and Abdel-illah Mouaddib, (Topic) Shared autonomy under a decision-theoretic framework. (Current version under review, extensions in progress.)
• (Ongoing work) Elise Perrotin, Thorsten Engesser, Andreas Herzig, and Shashank Shekhar, Epistemic-Doxastic Planning with Observation, Communication and Belief Revision, Artif. Intell. Journal.

Journal Articles

• Shashank Shekhar, Ronen I. Brafman, and Guy Shani, Factored Planning in Partially Observable and Deterministic Multi-Agent Domains, Artif. Intell. Journal, 2026. [Materials]
• Tomer Shahar, Shashank Shekhar, Dor Atzmon, Abdallah Saffidine, Brendan Juba, and Roni Stern, Safe Multi-Agent Pathfinding with Time Uncertainty. Journal of Artificial Intelligence, 2021.
• Shashank Shekhar and Ronen I. Brafman, Representing and planning with interacting actions and privacy. Artif. Intell. Journal, 2020.

Conference Papers (Full/Short/Extended Abstracts)

• Shashank Shekhar, Laurent Jeanpierre, and Abdel-illah Mouaddib, A Conceptual Framework for Shared Autonomy. Extended abstract in proc. of the 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026). [poster]
• Shashank Shekhar, Anthony Favier, and Rachid Alami, An Epistemic Human-Aware Task Planner which Anticipates Human Beliefs and Decisions. Int. Conf. on Soc. Rob. (ICSR) + AI 2024. [Materials]
• Shashank Shekhar, Anthony Favier, Rachid Alami, and Madalina Croitoru, A Knowledge Rich Task Planning Framework for Human-Robot Collaboration. (short paper) at SGAI 2023.
• Anthony Favier, Shashank Shekhar, and Rachid Alami, Models and Algorithms for Human-Aware Task Planning with Integrated Theory of Mind. RO-MAN 2023.
• Alexander Kovalchuk, Shashank Shekhar, and Ronen Brafman, Verifying Plans and Scripts for Robotics Tasks Using Performance Level Profiles. ICAPS 2021. (talk)
• Shashank Shekhar, Ronen I. Brafman, and Guy Shani, Improved Knowledge Modeling and Its use for Signaling in Multi-Agent Planning under Partial Observability. AAAI 2021.
• Shashank Shekhar, Ronen I. Brafman, and Guy Shani, A Factored Approach to Deterministic Contingent Multi-Agent Planning. ICAPS 2019. (talk (@21:40))
• Shashank Shekhar and Ronen I. Brafman, Representing and planning with interacting actions and privacy. ICAPS 2018. (talk)
• Shashank Shekhar and Deepak Khemani, Improving Heuristics On-the-fly for Effective Search in Plan Space. KI 2015.
• Shashank Shekhar and Deepak Khemani, Extending and Tuning Heuristics for a Partial Order Causal Link Planner. MIKE 2015.

Workshop/Symposium Papers

• Shashank Shekhar, Anthony Favier, and Rachid Alami, Human-Aware Epistemic Task Planning for Human-Robot Collaboration. at HAXP 2024, the ICAPS workshop (paper).
• Anthony Favier, Shashank Shekhar, and Rachid Alami, Anticipating False Beliefs and Planning Pertinent Reactions in Human-Aware Task Planning with Models of Theory of Mind. PlanRob 2023, the ICAPS workshop (pdf).
• Anthony Favier, Shashank Shekhar, and Rachid Alami, Robust Planning for Human-Robot Joint Tasks with Explicit Reasoning on Human Mental State. AAAI Fall Symposium Series (FSS) 2022.
• Shashank Shekhar, Ronen I. Brafman, and Guy Shani, Signaling in Contingent Multi-Agent Planning. EpiP'20 Workshop, ICAPS 2020. (talk)
• Or Wertheim, Ronen I. Brafman, Shashank Shekhar, Tal Feiner, and Igal Pinsky, ROS-POMDP – A Platform for Robotics Planning using PLPs and RDDL in ROS. PlanRob'20 Workshop, ICAPS 2020.
• Tomer Shahar, Shashank Shekhar, Dor Atzmon, Abdallah Saffidine, Brendan Juba, and Roni Stern, Safe Multi-Agent Pathfinding with Time Uncertainty. WoMAPF'20 Workshop, IJCAI 2020.
• Shashank Shekhar and Deepak Khemani, Learning and tuning meta-heuristics in plan space planning. (arXiv 2016).