Shlomi Hacohen

About

Shlomi Hacohen is a leading researcher in robotics and multi-agent systems, with a focus on motion planning, swarm intelligence, and statistical robotics. His work bridges the gap between theoretical probability and practical robotic control, particularly in dynamic and uncertain environments. Hacohen's seminal paper, "Applying probability navigation function in dynamic uncertain environments" (2016, 32 citations), introduced a novel probabilistic framework for robot navigation, which he later extended to pedestrian crossing in congested traffic (2017, 25 citations) and stochastic static environments (2019, 18 citations). His contributions to swarm robotics are equally impactful, including a groundbreaking study on robotic swarm motion planning for load carrying and manipulating (2020, 18 citations), inspired by ant behavior, and a self-learning technique for quadrupedal robots with active back joints (2020, 13 citations). Hacohen also explored kinematic singularity solutions for omnidirectional robots (2021, 10 citations) and introduced the concept of Statistical Multi-Robot Systems (SMRS) in 2024 (5 citations), a paradigm that applies statistical physics to control large-scale robot collectives. His work on the paradox of pedestrian risk aversion (2020, 8 citations) highlights his interdisciplinary approach. With over 130 total citations, Hacohen's research is shaping the future of autonomous systems, from modular self-reconfigurable robots to human-robot interaction.

Research Focus

Key Achievements

Top Papers

1. 1
   Applying probability navigation function in dynamic uncertain environments

   32 citations · 2016
2. 2
   Dynamic model for pedestrian crossing in congested traffic based on probabilistic navigation function

   25 citations · 2017
3. 3
   Probability Navigation Function for Stochastic Static Environments

   18 citations · 2019
4. 4
   Robotic Swarm Motion Planning for Load Carrying and Manipulating

   18 citations · 2020
5. 5
   Gait and Trajectory Optimization by Self-Learning for Quadrupedal Robots with an Active Back Joint

   13 citations · 2020
6. 6
   Overcoming Kinematic Singularities for Motion Control in a Caster Wheeled Omnidirectional Robot

   10 citations · 2021
7. 7
   The paradox of pedestrian's risk aversion

   8 citations · 2020
8. 8
   An RRT That Uses MSR-Equivalence for Solving the Self-Reconfiguration Task in Lattice Modular Robots

   6 citations · 2023
9. 9
   Statistical Robotics: Controlling Multi Robot Systems Using Statistical-Physics

   5 citations · 2024
10. 10
    Multi‐Robot Systems and Swarming

    4 citations · 2019

Key Collaborators

Contact & Links