Advancements in Robotic Manipulation and Sensor Technologies

The field of robotics is witnessing significant advancements in manipulation and sensor technologies. Researchers are focusing on developing innovative solutions to address the challenges of robotic manipulation in complex, constrained spaces. One of the key areas of research is the development of efficient motion planning algorithms that can enable robots to navigate through narrow passages and manipulate elongated objects. Another important area of research is the development of force-safe environment maps and real-time detection methods for soft robot manipulators, which can ensure safe and delicate interactions with the environment. Additionally, there is a growing interest in the development of vision-based tactile sensors that can provide robots with dense signals to understand their environment. Noteworthy papers in this area include: TAPOM, which proposes a topology-aware planning method for object manipulation in cluttered environments, and Force-Safe Environment Maps and Real-Time Detection for Soft Robot Manipulators, which introduces a framework for mapping force safety criteria from task space to configuration space. Re2MaP is also notable for its expert-quality macro placements through recursively prototyping and packing tree-based relocating. Dual-Arm Whole-Body Motion Planning is another significant work that leverages overlapping kinematic chains to alleviate the curse of dimensionality in motion planning for dual-arm robots.

Sources

Design Exploration for Protection and Cleaning of Solar Panels with Case Studies for Space Missions

TAPOM: Task-Space Topology-Guided Motion Planning for Manipulating Elongated Object in Cluttered Environments

A semi-analytical approach for computing the largest singularity-free spheres of a class of 6-6 Stewart-Gough platforms for specified orientation workspaces

Force-Safe Environment Maps and Real-Time Detection for Soft Robot Manipulators

Benchmarking Resilience and Sensitivity of Polyurethane-Based Vision-Based Tactile Sensors

Re$^{\text{2}}$MaP: Macro Placement by Recursively Prototyping and Packing Tree-based Relocating

Dual-Arm Whole-Body Motion Planning: Leveraging Overlapping Kinematic Chains

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