Search Results - "Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems"

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  1. 1

    Soft-bubble grippers for robust and perceptive manipulation by Kuppuswamy, Naveen, Alspach, Alex, Uttamchandani, Avinash, Creasey, Sam, Ikeda, Takuya, Tedrake, Russ

    “…Manipulation in cluttered environments like homes requires stable grasps, precise placement and robustness against external contact. Towards addressing these…”
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    Conference Proceeding
  2. 2

    Development of experimental legged robot for inspection and disaster response in plants by Yoshiike, Takahide, Kuroda, Mitsuhide, Ujino, Ryuma, Kaneko, Hiroyuki, Higuchi, Hirofumi, Iwasaki, Shingo, Kanemoto, Yoshiki, Asatani, Minami, Koshiishi, Takeshi

    “…In this paper, a new experimental legged robot for inspection and disaster response in social infrastructures designed for humans, such as factories and power…”
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    Conference Proceeding
  3. 3

    A Whisker-inspired Fin Sensor for Multi-directional Airflow Sensing by Kim, Suhan, Kubicek, Regan, Paris, Aleix, Tagliabue, Andrea, How, Jonathan P., Bergbreiter, Sarah

    “…This work presents the design, fabrication, and characterization of an airflow sensor inspired by the whiskers of animals. The body of the whisker was replaced…”
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  4. 4

    Simultaneous Planning for Item Picking and Placing by Deep Reinforcement Learning by Tanaka, Tatsuya, Kaneko, Toshimitsu, Sekine, Masahiro, Tangkaratt, Voot, Sugiyama, Masashi

    “…Container loading by a picking robot is an important challenge in the logistics industry. When designing such a robotic system, item picking and placing have…”
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  5. 5

    Responsive Joint Attention in Human-Robot Interaction by Pereira, Andre, Oertel, Catharine, Fermoselle, Leonor, Mendelson, Joe, Gustafson, Joakim

    “…Joint attention has been shown to be not only crucial for human-human interaction but also human-robot interaction. Joint attention can help to make…”
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    Conference Proceeding
  6. 6

    Virtual-mass-ellipsoid Inverted Pendulum Model and Its Applications to 3D Bipedal Locomotion on Uneven Terrains by Guan, Kaixuan, Yamamoto, Ko, Nakamura, Yoshihiko

    “…It is still an open problem to develop a reduced order model of bipedal walking that closely represents the complex dynamics of humanoid robots. In this paper,…”
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    Conference Proceeding
  7. 7

    Generating gaits for simultaneous locomotion and manipulation by Whitman, Julian, Shuang Su, Coros, Stelian, Ansari, Alex, Choset, Howie

    “…Modular robots can be rapidly reconfigured into customized articulated legged morphologies capable of mobile manipulation and inspection. However, current gait…”
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    Conference Proceeding
  8. 8

    Spiking Neurons Ensemble for Movement Generation in Dynamically Changing Environments by Favier, Kaname, Yonekura, Shogo, Kuniyoshi, Yasuo

    “…Spiking neurons might play a larger role than simply as an efficient signal transmitter. Several studies have demonstrated how movements can be generated using…”
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    Conference Proceeding
  9. 9

    A self-adjusting knee exoskeleton for robot-assisted treatment of knee injuries by Ergin, Mehmet Alper, Patoglu, Volkan

    “…In this study, we present a novel active device for robot-assisted rehabilitation that accommodates transitional movements of the knee joint as well as its…”
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    Online replanning for reactive robot motion: Practical aspects by Yoshida, E, Yokoi, K, Gergondet, P

    “…We address practical issues to develop reactive motion planning method capable of replanning the path online when the environment changes during the execution…”
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    Conference Proceeding
  12. 12

    Human-like reflexes for robotic manipulation using leaky integrate-and-fire neurons by Bauer, C, Milighetti, G, Wenjie Yan, Mikut, R

    “…In this paper we present an approach to transfer human-like reflex behavior to robots by utilizing leaky integrate-and-fire neurons. For the acceptance of…”
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    Conference Proceeding
  13. 13

    Enforcing Vision-Based Localization using Perception Constrained N-MPC for Multi-Rotor Aerial Vehicles by Jacquet, Martin, Franchi, Antonio

    “…This work introduces a Nonlinear Model Predictive Control (N-MPC) for camera-equipped Unmanned Aerial Vehicles (UAVs), which controls at the motor level the…”
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  14. 14

    Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection by Wang, Zhixin, Jia, Kui

    “…In this work, we propose a novel method termed Frustum ConvNet (F-ConvNet) for amodal 3D object detection from point clouds. Given 2D region proposals in an…”
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  15. 15

    Domain randomization for transferring deep neural networks from simulation to the real world by Tobin, Josh, Fong, Rachel, Ray, Alex, Schneider, Jonas, Zaremba, Wojciech, Abbeel, Pieter

    “…Bridging the `reality gap' that separates simulated robotics from experiments on hardware could accelerate robotic research through improved data availability…”
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    Conference Proceeding
  16. 16

    LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping by Shan, Tixiao, Englot, Brendan, Meyers, Drew, Wang, Wei, Ratti, Carlo, Rus, Daniela

    “…We propose a framework for tightly-coupled lidar inertial odometry via smoothing and mapping, LIO-SAM, that achieves highly accurate, real-time mobile robot…”
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  17. 17

    Socially aware motion planning with deep reinforcement learning by Yu Fan Chen, Everett, Michael, Miao Liu, How, Jonathan P.

    “…For robotic vehicles to navigate safely and efficiently in pedestrian-rich environments, it is important to model subtle human behaviors and navigation rules…”
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  18. 18

    Voxblox: Incremental 3D Euclidean Signed Distance Fields for on-board MAV planning by Oleynikova, Helen, Taylor, Zachary, Fehr, Marius, Siegwart, Roland, Nieto, Juan

    “…Micro Aerial Vehicles (MAVs) that operate in unstructured, unexplored environments require fast and flexible local planning, which can replan when new parts of…”
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  19. 19

    Robotic grasp detection using deep convolutional neural networks by Kumra, Sulabh, Kanan, Christopher

    “…Deep learning has significantly advanced computer vision and natural language processing. While there have been some successes in robotics using deep learning,…”
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  20. 20

    Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation by Lei Tai, Paolo, Giuseppe, Ming Liu

    “…We present a learning-based mapless motion planner by taking the sparse 10-dimensional range findings and the target position with respect to the mobile robot…”
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